- HendrikStrobelt/LSTMVis - Visualization Toolbox for Long Short Term Memory networks (LSTMs)
- WerWolv/ImHex - A Hex Editor for Reverse Engineers, Programmers and people that value their eye sight when working at 3 AM.
- linkedin/school-of-sre - At LinkedIn, we are using this curriculum for onboarding our entry level talents into the SRE role.
- Netflix/consoleme - ConsoleMe consolidates the management of multiple AWS accounts into a single interface.
- mihail911/nlp-library
- google/next-prediction
- akanyaani/gpt-2-tensorflow2.0
- xbmc/xbmc - Kodi is an award-winning free and open source home theater/media center software and entertainment hub for digital media. With its beautiful interface and powerful skinning engine, it's available for Android, BSD, Linux, macOS, iOS and Windows.
- ermongroup/cs228-notes
- huguyuehuhu/HCN-pytorch
- photoprism/photoprism)
- BorgwardtLab/Set_Functions_for_Time_Series
- charlax/professional-programming
- myliang/x-spreadsheet
- microsoft/frontend-bootcamp
- microsoft/MCW-Predictive-Maintenance-for-remote-field-devices
- goabstract/Awesome-Design-Tools
- storybookjs/storybook
- HyeonwooNoh/vqa_task_discovery
- KaihuaTang/VCTree-Visual-Question-Answering
- MuZero: Mastering Go, chess, shogi and Atari without rules
- Using JAX to accelerate our research
- Organizational Update from OpenAI
- End-to-End, Transferable Deep RL for Graph Optimization
- Privacy Considerations in Large Language Models
- MediaPipe Holistic — Simultaneous Face, Hand and Pose Prediction, on Device
- Google at NeurIPS 2020
- Using AutoML for Time Series Forecasting
- Transformers for Image Recognition at Scale
- Navigating Recorder Transcripts Easily, with Smart Scrolling
- 3D NAND’s Vertical Scaling Race
- Improving the Generalization of End-to-End Driving through Procedural Generation
- The Successor Representation, γ-Models, and Infinite-Horizon Prediction
- Offline Reinforcement Learning: How Conservative Algorithms Can Enable New Applications
- Does GPT-2 Know Your Phone Number?
- AI Autonomous Cars Might Not Know They Were In A Car Crash
- Gartner IT Symposium/Xpo
- Rise of AI Summit 2020
- Gartner Tech CEO Talk
- CES 2020 Keynotes
- NVIDIA GTC October 2020 Keynote
- TC Sessions: Space 2020
- Microsoft Build 2020
- GCP Next OnAir Highlights
- Google Cloud Next ’20: OnAir - All Sessions
- SAP TechEd2020
- AWS re:Invent 2020
- Oracle Openworld
- Adobe Summit
- IBM Think
- AWE Asia 2020
- Big Data and AI Toronto 2020 - Talks
- Digital Workplace Experience
- #TNW2019
- DeveloperWeek 2020
- Q2B 2020
- 2020 DARPA ERI Summit and MTO Symposium
- Using AutoML for Time Series Forecasting
- Transformers for Image Recognition at Scale
- AWS Leverages Habana Gaudi AI Processors
- Intel: Neuromorphic Computing
- Graph Neural Networks: Taxonomy, Advances and Trends
- MLCommons debuts with public 86,000-hour speech data set for AI researchers
- AI’s next act: Genius chips, programmable silicon and the future of computing
- Robot hands one step closer to human thanks to AI algorithms
- Getting there: Structured data, semantics, robotics, and the future of AI
- ServiceNow is acquiring Element AI, the Canadian startup building AI services for enterprises
- A new horizon: Expanding the AI landscape
- Bayesian Optimization Accelerator
- AI Announcements Made So Far At AWS re:Invent 2020
- Imagining perfect molecules using AI - a benchmarking system for generative chemistry
- nvidia-launches-monai-framework-to-accelerate-ai-in-healthcare
- Acquisitions Of 2020
- Companies are now writing reports tailored for AI readers – and it should worry us John Naughton
- Chinese scientists say they’ve achieved a quantum computing breakthrough
- China's new Quantum tech is 100 trillion times faster than Google's
- Amazon is laying the groundwork for its own quantum computer
- Intel Creating Cryptographic Codes That Quantum Computers Can't Crack
- Quantum Acceleration in 2020
- Mphasis Announces Quantum Computing Framework and Consulting Services
- What Intel Is Planning for The Future of Quantum Computing: Hot Qubits, Cold Control Chips, and Rapid Testing
- Our quantum computer will get 100,000x faster by 2025, Honeywell says
- The Quantum Internet Will Blow Your Mind. Here’s What It Will Look Like
- Loon balloons get boost from Google AI
- New machine learning tool tracks urban traffic congestion
- Shrinking massive neural networks used to model language
- Researchers confront optics and data-transfer challenges with 3D-printed lens
- A machine learning solution for designing materials with desired optical properties
- https://www.enterpriseai.news/
- Understanding RL Vision
- The Next Big Leap: Energy Optimization
- The Language Interpretability Tool (LIT): Interactive Exploration and Analysis of NLP Models
- 130 Machine Learning Projects Solved and Explained
- CERN: Online introductory lectures on quantum computing from 6 November
- CERN Quantum Technology Initiative
- NASA: Discoveries - Highlights | Realizing Monster Black Holes Are Everywhere
- The Machine Learning Behind Hum to Search
- Announcing the Objectron Dataset
- FermiNet: Quantum Physics and Chemistry from First Principles
- Benefits of Software Optimizations for AI Workloads on Intel® Xeon® Scalable Platforms
- MLPerf CPU Based Inference Performance
- The Four Paths to AI Success
- Goodhart’s Law, Diversity and a Series of Seemingly Unrelated Toy Problems
- EvolveGraph: Dynamic Neural Relational Reasoning for Interacting Systems
- Learning State Abstractions for Long-Horizon Planning
- AlphaFold: a solution to a 50-year-old grand challenge in biology ⭐
- AMAI-GmbH/AI-Expert-Roadmap
- architect
- chatwoot/chatwoot
- MarlinFirmware/Marlin : Marlin 3D Printer Firmware
- jef/streetmerchant
- edent/SuperTinyIcons
- tirthajyoti/Papers-Literature-ML-DL-RL-AI
- loadimpact/k6
- Active-Directory-Exploitation-Cheat-Sheet
- microsoft/Bringing-Old-Photos-Back-to-Life
- Back-end Architect Technical Atlas
- jonkrohn/ML-foundations
- PacktPublishing/Tensorflow-2.0-Quick-Start-Guide
- facebookresearch/pifuhd
- harisqazi1/Cybersecurity
- PacktPublishing/Mastering-PyTorch
- DeepReinforcementLearningInAction
- MalwareSourceCode
- Machine-Learning-and-Data-Science
- microsoft/Web-Dev-For-Beginners
- Learn-Natural-Language-Processing-Curriculum
- ruGPT3_demos
- This could lead to the next big breakthrough in common sense AI
- Key Highlights From Deep Learning DevCon 2020
- AI pioneer Geoff Hinton: “Deep learning is going to be able to do everything”
- Large-Scale Multilingual AI Models from Google, Facebook, and Microsoft
- Experimenting with Automatic Video Creation from a Web Page
- Developing Real-Time, Automatic Sign Language Detection for Video Conferencing
- AI Autonomous Cars Might Have Just A Four-Year Endurance Lifecycle
- Scientists develop 'mini-brains' to help robots recognize pain and to self-repair
- Scientists voice concerns, call for transparency and reproducibility in AI research
- New deep learning models: Fewer neurons, more intelligence
- A computer predicts your thoughts, creating images based on them
- Brain-inspired electronic system could vastly reduce AI's carbon footprint
- New deep learning models require fewer neurons
- Shrinking deep learning’s carbon footprint
- VIDEO: The status of artificial adversarial intelligence
- A Renaissance For Semiconductors
- Regaining The Edge In U.S. Chip Manufacturing
- Deals That Change The Chip Industry
- huggingface/datasets
- madewithml/basics
- NVIDIA/NeMo
- jonkrohn/DLTFpT
- visenger/awesome-mlops
- JoseDeFreitas/awesome-youtubers
- zslucky/awesome-AI-books
- quantopian/alphalens
- quantopian/pyfolio
- dair-ai/nlp_paper_summaries
- microsoft/nni
- iTAML
- deepmind/optax
- NumPyANN
- floodsung/Deep-Reasoning-Papers
- digitalocean/hacktoberfest
- google-research/sputnik
- Asabeneh/30-Days-Of-React
- rui314/chibicc
- kentcdodds/react-hooks
- Asabeneh/30-Days-Of-JavaScript
- plausible/analytics
- daviddao/awful-ai
- 30-seconds/30-seconds-of-code
- allenai/allenact
- trekhleb/machine-learning-experiments
- harperreed/gpt3-persona-bot
- astroML/astroML : Machine learning for astronomy and astrophysics
- peterdsharpe/AeroSandbox
- EthicalML/production-machine-learning
- mrdbourke/machine-learning-roadmap
- afteracademy/nodejs-backend-architecture-typescript
- openai/jukebox
- shreyashankar/gpt3-sandbox
- blushft/go-diagrams
- codemix/ts-sql : sql db(impl:typescript)
- terraform-aws-modules/terraform-aws-vpc : Terraform module which creates VPC resources on AWS
- alan-turing-institute/sktime
- mlss-2019/slides
- gto76/python*
- allenai/PeerRead :A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
- home-assistant/core
- Azure/azure-quickstart-templates
- github/rest-api-description
- jaakkopasanen/AutoEq
- mrdbourke/zero-to-mastery-ml
- MorvanZhou/PyTorch-Tutorial
- NVIDIA-AI-IOT/deepstream_python_apps
- SeldonIO/seldon-core
- clovaai/deep-text-recognition-benchmark
- yijingru/BBAVectors-Oriented-Object-Detection
- PaddlePaddle/PaddleOCR
- facebookresearch/frankmocap
- microsoft/Bringing-Old-Photos-Back-to-Life
- PaddlePaddle/PaddleDetection
- PaddlePaddle/models
- microsoft/DeepSpeed
- LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
- automl/auto-sklearn
- tqichun/auto-sklearn-homework
- learnables/learn2learn
- rlworkgroup/metaworld
- google-research/meta-dataset
- cambridge-mlg/cnaps
- THUNLP-MT/THUMT
- stevezheng23/xlnet_extension_tf
- TinkerMob/keras_albert_model
- anopara/genetic-drawing
- biolib/openprotein
- lots-of-things/gpt2-bert-reddit-bot
- ultralytics/yolov5
- brightmart/xlnet_zh
- google-research/text-to-text-transfer-transformer
- clarkkev/attention-analysis
- tg-bomze/Face-Depixelizer
- podgorskiy/ALAE
- dabreegster/abstreet
- FlameOfIgnis/Pwdb-Public : 1 billion leaked credentials from internet
- deepmind/graph_nets
- aqlaboratory
- google-research/episodic-curiosity
- deepmind/dm-haiku
- google-research/computation-thru-dynamics
- JaidedAI/EasyOCR : Ready-to-use OCR with 40+ languages supported
- deep-learning-with-pytorch/dlwpt-code
- jbesomi/texthero
- mtrazzi/rl-book-challenge
- AliAnilKocak/Flutter-Shopping-UI-Kit
- manikandanraji/youtubeclone-frontend
- WebDevSimplified/Zoom-Clone-With-WebRTC
- purvaten/feel-the-music
- Z4nzu/hackingtool
- deepmind/multi_object_datasets
- adobe/react-spectrum
- deepmind/spriteworld
- streamich/react-use
- facebookresearch/GraphLog
- kamranahmedse/developer-roadmap, [youtube]
- bradtraversy/design-resources-for-developers
- londonappbrewery/Flutter-Course-Resources
- JingqingZ/BaiduTraffic
- lidangzzz/hedgehog-lab
- mitesh77/Best-Flutter-UI-Templates
- UZ-SLAMLab/ORB_SLAM3
- WongKinYiu/PyTorch_YOLOv4
- alievk/avatarify
- pliang279/awesome-multimodal-ml
- microsoft/MS-DOS
- Alro10/awesome-deep-neuroevolution
- versatica/mediasoup
- telegramdesktop/tdesktop
- guotong1988/BERT-GPU
- Machine-Learning-Tokyo/AI-ML-Newsletter
- vt-vl-lab/3d-photo-inpainting
- ianramzy/decentralized-video-chat
- shengqiangzhang/examples-of-web-crawlers
- VictorRancesCode/flutter_dialogflow
- dmitrizzle/chat-bubble
- Communicating with Interactive Articles
- Thread: Differentiable Self-organizing Systems
- OpenAI Licenses GPT-3 Technology to Microsoft
- Learning to Summarize with Human Feedback
- Image GPT
- Advancing NLP with Efficient Projection-Based Model Architectures
- Improving the Accuracy of Genomic Analysis with DeepVariant 1.0
- Introducing Opacus: A high-speed library for training PyTorch models with differential privac
- Introducing Dynabench: Rethinking the way we benchmark AI
- AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
- emilwallner/Coloring-greyscale-images
- terryum/Data-Augmentation-For-Wearable-Sensor-Data
- Light-City/CPlusPlusThings
- mohamedameen93/German-Traffic-Sign-Classification-Using-TensorFlow
- Light-City/CPlusPlusThings
- alirezamika/autoscraper
- IBM/powerai-vision-object-detection
- girls-in-ai/Girls-In-AI
- kk7nc/RMDL
- google/eleventy-high-performance-blog
- deepmind/acme
- facebookresearch/ReAgent
- zaidalyafeai/AttentioNN
- sushiswap/sushiswap-frontend
- mingrammer/diagrams
- deepmind/bsuite
- google-research/arxiv-latex-cleaner
- project-chip/connectedhomeip
- microsoft/onnxruntime
- sachinruk/deepschool.io
- m2dsupsdlclass/lectures-labs
- CleverProgrammers/react-challenge-amazon-clone
- allenai/PeerRead
- deepmind/mathematics_dataset
- artix41/awesome-transfer-learning
- google-research/tensor2robot
- CSSEGISandData/COVID-19
- MysteryVaibhav/leetcode_company_wise_questions
- google/makani
- google/neural-tangents
- google/googletest
- beyretb/AnimalAI-Olympics
- microsoft/onefuzz
- oracle/tribuo
- cortexlabs/cortex
- HeroTransitions/Hero
- Azure/bicep
- dipanjanS/hands-on-transfer-learning-with-python
- IsaacChanghau/DL-NLP-Readings
- moby/moby
- hoffstadt/DearPyGui
- matplotplusplus
- twbs/icons
- m2dsupsdlclass/lectures-labs
- sachinruk/deepschool.io
- connorferster/handcalcs - Python library for converting Python calculations into rendered latex.
- aws/aws-controllers-k8s
- computervision-recipes
- taosdata/TDengine
- AliaksandrSiarohin/first-order-model
- sherlock-project/sherlock
- hediet/vscode-debug-visualizer
- https://arwes.dev/
- OATML/oatomobile
- khalooei/ALOCC-CVPR2018
- certified-kubernetes-administrator-course
- IBM/MAX-Object-Detector
- emilwallner/Coloring-greyscale-images
- design-resources-for-developers
- karpathy/minGPT ⭐
- Robotic AI & Learning Lab Berkeley
- Deep_Openset_Recognition_through_Uncertainty
- aws-samples
- OATML/bdl-benchmarks
- mila-iqia/babyai
- AnimeGANv2
- gpujs/gpu.js
- wesome-Self-Supervised-Papers
- mathematics_dataset
- pytorch-dnc
- OpenAI Scholars Spring 2020: Final Projects
- OpenAI API
- Scaling Up Fundamental Quantum Chemistry Simulations on Quantum Hardware
- An Analysis of Online Datasets Using Dataset Search (Published, in Part, as a Dataset)
- On-device, Real-time Body Pose Tracking with MediaPipe BlazePose
- Tackling Open Challenges in Offline Reinforcement Learning
- A Simulation Suite for Tackling Applied Reinforcement Learning Challenges
- Improving Holistic Scene Understanding with Panoptic-DeepLab
- AutoML-Zero: Evolving Code that Learns
- Kaggle: Lyft Motion Prediction for Autonomous Vehicles
- AI Will Change the World. Who Will Change AI? We Will.
- Exploring Exploration: Comparing Children with RL Agents in Unified Environments
- Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions
- Thread: Differentiable Self-organizing Systems
- New Architectures, Much Faster Chips
- From Cloud To Cloudlets
- The Evolution Of Digital Twins
- Wireless Power Market Heats Up
- facebookresearch/TransCoder
- linkedin/detext
- WebDevSimplified/Zoom-Clone-With-WebRTC
- trekhleb/javascript-algorithms
- stayawayinesctec/stayaway-app
- google/tsunami-security-scanner
- openai/gpt-3 | openai/gpt-2
- scutan90/DeepLearning-500-questions
- PaddlePaddle/PaddleOCR
- commaai/openpilot
- open-mmlab/mmdetection
- vt-vl-lab/3d-photo-inpainting
- tiangolo/fastapi
- Exploring Bayesian Optimization ⭐
- Towards understanding glasses with graph neural networks
- Agent57: Outperforming the human Atari benchmark
- OpenAI: jukebox
- OpenAI: AI and Efficiency
- OpenAI: Improving Verifiability in AI Development
- OpenAI: OpenAI Microscope
- Federated Analytics: Collaborative Data Science without Data Collection
- Evaluating Natural Language Generation with BLEURT
- Open-Sourcing BiT: Exploring Large-Scale Pre-training for Computer Vision
- Announcing Meta-Dataset: A Dataset of Datasets for Few-Shot Learning
- Understanding the Shape of Large-Scale Data
- An NLU-Powered Tool to Explore COVID-19 Scientific Literature
- Google at ICLR 2020
- Chip Design with Deep Reinforcement Learning
- Exploring Evolutionary Meta-Learning in Robotics
- Exploring Nature-Inspired Robot Agility
- Announcing the 2020 Image Matching Benchmark and Challenge
- Artemis Supercomputer on the Hunt for Deeper Understanding of Genomics
- NVIDIA and King’s College London Announce MONAI Open Source AI Framework for Healthcare Research
- Earth to AI: Three Startups Using Deep Learning for Environmental Monitoring
- Intel AI - Featured Solutions
- Deploying Intel® AI Solutions
- AI frameworks optimized on Intel® Architecture
- implementing-interpretable-probabilistic-inference-in-high-energy-physics-and-beyond
- How Intel Uses AI to Identify Sales & Marketing Opportunities
- Why BERT Fails in Commercial Environments
- Introducing Paddle Quantum: How Baidu's Deep Learning Platform PaddlePaddle Empowers Quantum Computing
- Baidu Develops Algorithms that Improve mRNA Vaccine Developments for COVID-19
- VidPress: Baidu’s New AI Tool Creating Videos from a URL with One-Click
- OmniTact: A Multi-Directional High-Resolution Touch Sensor
- Unsupervised Meta-Learning: Learning to Learn without Supervision
- The Ingredients of Real World Robotic Reinforcement Learning
- Making Decision Trees Accurate Again: Explaining What Explainable AI Did Not
- AI Autonomous Cars And The Problem Of Where To Drop Off Riders
- Determining the ROI of AI Projects A Key to Success
- Startup Cuberg Uses AI To Build Energy Dense, Lightweight Batteries
- Debating The Future Of Autonomous Cars And Trucks
- Powerful new AI technique detects and classifies galaxies in astronomy image data
- Automated Covid-19 contact tracing - while preserving privacy
- Automating the search for entirely new “curiosity” algorithms
- Visualizing the world beyond the frame
- System trains driverless cars in simulation before they hit the road
- VIDEO: The status of artificial adversarial intelligence
- New film highlights dangers of deepfakes in shaping "alternative histories"
- Hot Topics in Computing: contact tracing activities at MIT
- Hot Topics in Computing: Quantum Computational Supremacy and its Applications
- Learning High-Level Representations for Agents
- Domain Specific Architectures for Deep Neural Networks: Three Generations of Tensor Processing Units (TPUs)
- AI Advances and Aspirations
- The End of the Road for General Purpose Processors & the Future of Computing
- From Utopia to Dystopia in 29 Short Years
- Designing custom "hybrid drones"
- Predicting people's driving personalities
- Deep Learning to Solve Challenging Problems
- State of the Machine Learning & AI* Industry
- ML Infrastructure Tools for Model Building
- Model Interpretation Frameworks
- ML Ops: Real World Model Deployments
- Machine Learning System Design: Real-time processing
- SpaceX-API : Open Source REST API for rocket, core, capsule, pad, and launch data ⭐
- top10webseclist
- open-mmlab/mmdetection
- yolov5
- DP100
May - 2020
- BERT-of-Theseus
- CovidShield/mobile
- reverse-interview
- design-resources-for-developers
- big_transfer
- yolov3-keras-tf2
- google/automl ⭐
- U-2-Net
- InterpretableMLBook
- rawdrawandroid : Build android apps without any java, entirely in C
- pose-animator
- AU-COVIDSafe/mobile-android: COVIDSafe android app https://play.google.com/store/apps/de…
- vscode-drawio : This extension integrates Draw.io into VS Code. ⭐
- pi-hole : A black hole for Internet advertisements https://pi-hole.net
- excelize : Golang library for reading and writing Microsoft Excel™ (XLSX) files.
- pytorch-lightning : The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
- numerical-linear-algebra
- covid-chestxray-dataset
- covid19model
- cocoapi
Apr - 2020
- poloclub/cnn-explainer ⭐
- firmai/industry-machine-learning ⭐
- CoreyMSchafer/code_snippets
- cyrildiagne/ar-cutpaste : Cut and paste your surroundings using AR
- Red-Teaming-Toolkit
- fastai/fastbook : Draft of the fastai book
- datawhalechina/joyful-pandas : Pandas中文教程
- ShusenTang/Dive-into-DL-PyTorch : 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
- Azure/MachineLearningNotebooks
- zzh8829/yolov3-tf2 : YoloV3 Implemented in Tensorflow 2.0
- nianticlabs/monodepth2
- pandas-profiling : Create HTML profiling reports from pandas DataFrame objects
- hse-aml/natural-language-processing
- cyrildiagne/instagram-3d-photo : A Chrome extension that adds a 3d photo effect to instagram pages.
- MONAI
- ALAE : [CVPR2020] Adversarial Latent Autoencoders ⭐
- GitHubDaily
- karpathy/micrograd : A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
- fireship-io ⭐
- heroicons
- Background-Matting
- MiniFold : Creating a mini version of Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm
- obsproject/obs-studio
- tirthajyoti/Data-science-best-resources)
- first-order-model
- FavioVazquez/ds-cheatsheets
- Sentdex/NNfSiX : Neural Networks from Scratch in other languages ⭐
- 0wczar/airframe-react ⭐
- code_snippets
- jetbot
- realpython/materials
Covid-19 : http://biomed-sanity.com/
- k-sys/covid-19 : A collection of work related to COVID-19
- covid19-rapid-response-demo : Googles's Verily Pathfinder VAT for COVID-19.
- CSSEGISandData/COVID-19 : Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
- tokyo-metropolitan-gov/covid19 : 東京都 新型コロナウイルス感染症対策サイト / Tokyo COVID-19 Task Force website
- nytimes/covid-19-data : An ongoing repository of data on coronavirus cases and deaths in the U.S.
- covid19india/covid19india-react : Source code of the main website
- Pratitya/COVID-19-timeline : 以 社会学年鉴模式体例规范地统编自2019年末起新冠肺炎疫情进展的时间线。
- ieee8023/covid-chestxray-dataset : We are building an open database of COVID-19 cases with chest X-ray or CT images.
- NovelCOVID/API : API for Current cases and more stuff about COVID-19 or the Novel Coronavirus Strain
- WorldHealthOrganization/app : Official World Health Organization COVID-19 App
- BlankerL/DXY-COVID-19-Crawler : 2019新型冠状病毒疫情实时爬虫及API | COVID-19/2019-nCoV Realtime Infection Crawler and API
- soroushchehresa/awesome-coronavirus ⭐
- pomber/covid19 : JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily
- mathdroid/covid-19-api : COVID-19 global data (from JHU CSSE for now) as-a-service
- github/covid19-dashboard : A site that displays up to date COVID-19 stats, powered by fastpages.
- gcreddy42/hiring2020 : Internship status of companies - COVID-19
- datasets/covid-19 : Novel Coronavirus 2019 time series data on cases
- ImperialCollegeLondon/covid19model : Code for modelling estimated deaths and cases for COVID19.
- globalcitizen/2019-wuhan-coronavirus-data : 2019 Wuhan Coronavirus data (COVID-19 / 2019-nCoV)
- phildini/stayinghomeclub : A list of all the companies WFH or events changed because of covid-19
- MohGovIL/hamagen-react-native : Israel's Ministry of Health's COVID-19 Exposure Prevention App
- UCSD-AI4H/COVID-CT : COVID-CT-Dataset: A CT Scan Dataset about COVID-19
- karpathy/covid-sanity : Aspires to help the influx of bioRxiv / medRxiv papers on COVID-19 ⭐
- elcronos/COVID-19 : COVID-19 Detector from x-rays using Computer Vision and Deep Learning
- julianschiavo/Covidcheck : Open source iOS app to track COVID-19 cases in a beautiful, easy-to-use interface
- Covid-19-Statistics-Dashboard-Angular-9 : Corona Virus / Covid 19 Tracker Dashboard With Awesome UI + PWA + NodeJS Scraper
- amodm/api-covid19-in : COVID Rest API for India data, using Cloudflare Workers
- deepset-ai/COVID-QA : API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.
- anshumanpattnaik/covid19-full-stack-application : Coronavirus - (COVID-19) Full Stack Application
- WeileiZeng/Open-Source-COVID-19 : A global collection of Open Source projects during COVID-19
- jihoo-kim/Data-Science-for-COVID-19 : DS4C: Data Science for COVID-19 in South Korea
- hugobowne/COVID-19-EDA-tutorial
- mitmath/6S083
- galaxyproject/SARS-CoV-2 : Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures
- Rank23/COVID19 : Using Kalman Filter to Predict Corona Virus Spread
- institute-of-health-policies-sk/SIRmodel_COVID-19
- SMART-CT-SCAN_BASED-COVID19_VIRUS_DETECTOR
- Priesemann-Group/covid19_inference_forecast ⭐
- nacnudus/google-location-coronavirus
- DmitrySerg/COVID-19 : Modelling the disease spread
- datasciencecampus/mobility-report-data-extractor : Scripts to extract data from the COVID-19 Google Community Mobility Reports
- abuuzayr/coronavirus-apps : List of coronavirus applications built in response to the COVID-19 virus from Dec 2019
- Ank-Cha/Social-Distancing-Analyser-COVID-19 ⭐
- ActiveConclusion/COVID19_mobility ⭐
- ehidra/contact-tracer ⭐
- shankari/covid-19-tracing-projects
- CoronaVirus-2019-nCoV-Live-Tracking
- covid-19-open-source-ventilators ⭐
- covid_19_jhu_data_web_scrap_and_cleaning
- austrianredcross/stopp-corona-ios ⭐
Feb - March 2020
- first-order-model
- CSSALTlab/Open_Source_Ventilator: Open source for use worldwide and contributions from others worldwide
- WorldHealthOrganization/app : World Health Organization App
- coronastatus
- covid19india/covid19india-react
- https://github.com/StanfordASL/moca
- nightingale: A Distributed and High-Performance Monitoring System https://n9e.didiyun.com
- https://github.com/grocy/grocy : ERP beyond your fridge - grocy is a web-based self-hosted groceries & household management solution for your home https://grocy.info
- https://github.com/datasets/covid-19 : Novel Coronavirus 2019 time series data on cases https://datahub.io/core/covid-19
- https://github.com/elcronos/COVID-19: COVID-19 Detector from x-rays using Computer Vision and Deep Learning
- domoticz
- bigdata18
- https://github.com/dotnet/tye
- TPN
- Recurrent-Independent-Mechanisms
- ventilator : Low-Cost Open Source Ventilator or PAPR
- https://github.com/fastai/course-v4
- covid19_scenarios
- dtc-tensorflow
- chime: COVID-19 Hospital Impact Model for Epidemics
- covid-chestxray-dataset
- coronavirus-tracker-cli
- Neural-Decision-Forests
- MER
- opencovid19-fr/data: Consolidation des données de sources officielles concernant l'épidémie de COVID19
- coronavirus-tracker-api
- Chinese-XLNet
- https://github.com/denisidoro/navi
- stayinghomeclub : A list of all the companies WFH or events changed because of covid-19 https://stayinghome.club
- google/mediapipe
- https://github.com/dbmdz/berts
- google-research/google-research
- COVID-19
- photo-stream
- bottlerocket
- sentence-transformers
- Flaubert
- minter-go-node
- myDrive: Node.js and mongoDB Google Drive Clone
- FeatureScatter
- https://github.com/khurramjaved96/mrcl
- Continual-Learning-Benchmark
- DataX
- HashingDeepLearning
- libfacedetection
- goxygen
- mitsuba2
- proteinnet
- https://github.com/fastai/fastbook
- deepJDOT
- swift-coreml-transformers: Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!
- https://github.com/rymc/n2d
- https://github.com/CSSEGISandData/COVID-19 :
- app-ideas
- Arena-BuildingToolkit
- NationalSecurityAgency/datawave
- oneHuster/Meta-Learning-Papers
- hacker-roadmap
- HowToTrainYourMAMLPytorch
- xingshaocheng/architect-awesome)
- prospr
- udacity-deep-reinforcement-learning
- Chaos
- Reinforcement-Learning-for-Self-Driving-Cars
- CapsNet
- facebookresearch/hiplot
- squash-generation
- DRLwithTL
- kaushaltrivedi/fast-bert
- FEAT
- nCovMemory
- 31-days-of-API-Security-Tips
- pytorch3d
- https://github.com/NVAITC/ai-lab
- https://github.com/dellacortelab/prospr
- 2020nCov_individual_archives
- sdsandbox
- fchollet/deep-learning-with-python-notebooks
- bertje
- Flaubert
- COMP6248
- DeepSpeed ⭐
- noiseprint
- https://github.com/google-research-datasets/tydiqa
- EnAET
- awesome-bert-nlp
- nodejs-cli-apps-best-practices
- Universal-Domain-Adaptation
- PlasmaPy
- freespeech
- Apollo-11
- uncertainty_estimation_deep_learning
- 1on1-questions
- https://github.com/google/trax ⭐
- ssl_text_classification
- https://github.com/dwmkerr/hacker-laws
- computervision-recipes
- Papers-of-Robust-ML
- class-incremental-learning
- Real-Time-Person-Removal
- wearable-microphone-jamming
- computer-vision-basics-in-microsoft-excel
- h4cker
- DAIN
- pytorch-transformers-classification
- MiniFold
- n2d
- BERT-for-Sequence-Labeling-and-Text-Classification
- lazygit
- RPSnet
- ICLR2019-OpenReviewData
- dispatch
Jan - 2020
- faiss
- pybullet_robots
- flyyufelix/donkey_rl
- justinamiller/SoftwareArchitect
- minimaxir/gpt-2-simple
- continual_learning_papers
- simpletransformers
- dongminlee94
- ML_paper_notes
- mpc.pytorch
- reformer-pytorch
- Chinese-PreTrained-XLNet
- cortex
- learning-to-learn-by-gradient-descent-by-gradient-descent
- sdsandbox
- dspn
- SenseAct
- neural-processes
- scalene
- awesome-uses
- pytorch-maml-rl
- rl-collision-avoidance
- difftaichi
- DevYouTubeList
- Carla-ppo
- Data-Science--Cheat-Sheet
- RLBench
- ATMC
- SQDDPG
- fast-bert
- cavia
- rex-gym - OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
- spot-sdk - Spot SDK repo
- deer - DEEp Reinforcement learning framework
- learning-to-communicate-pytorch - Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
- OpenSource-RoadMap-DataSciencehttps://github.com/merantix/imitation-learning
- imitation-learning
- rasbt/deeplearning-models - A collection of various deep learning architectures, models, and tips
- DevYouTubeList
- magnet - MAGNet: Multi-agents control using Graph Neural Networks
- mrcl
- AI_Sudoku
- ALBERT -ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
- pyrobolearn
- softqlearning
- https://github.com/CYHSM/DeepInsight
- https://github.com/kdmdelhincr/talks
- https://github.com/prabhuomkar/pytorch-cpp
Dec - 2019
- gym-unrealcv : Unreal environments for reinforcement learning
- lets-do-irl: Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
- MADRaS: Multi-Agent DRiving Simulator
- simpletransformers : Simple Transformers
- mil: Code for "One-Shot Visual Imitation Learning via Meta-Learning"
- few-shot-gnn: Few-Shot Learning with Graph Neural Networks
- h-baselines: A repository of high-performing hierarchical reinforcement learning models and algorithms.
- robotics-rl-srl: S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
- gym-sokoban: Sokoban environment for OpenAI Gym
- RelationalGraphLearning: Relational graph learning for crowd navigation
- ML-From-Scratch: Machine Learning From Scratch
- Deep_RL_with_pytorch: A pytorch tutorial for DRL(Deep Reinforcement Learning)
- SenseAct: SenseAct: A computational framework for developing real-world robot learning tasks
- awesome-deep-rl: For deep RL and the future of AI.
- reinforcement-learning-stanford: CS234: Reinforcement Learning, Winter 2019 | YouTube videos
- bipedal-walker: [WIP] 🚧 An implementation of Deep Deterministic Policy Gradients (DDPG) to control a bipedal walker
- crawlab: Distributed web crawler admin platform for spiders management regardless of languages and frameworks.
- dqn: TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)
- MORL: Multi-Objective Reinforcement Learning
- awesome-deep-reinforcement-learning: Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
- stylegan2: StyleGAN2 - Official TensorFlow Implementation
- cube.js
- gpt-2-output-dataset: Dataset of GPT-2 outputs for research in detection, biases, and more
- learning-to-drive-in-a-day
- Unity_ML_Agents: Unity ML-agents Project Repository of RLKorea
- Dive-into-DL-TensorFlow2.0
- MPNet
- rllab-curriculu
- bertviz
- Reinforcement-Learning-for-Self-Driving-Cars
- Lane-Keeping-Assist-on-CARLA
- Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning
- gpt2client
- Machine-Learning-Links-And-Lessons-Learned
- rl-collision-avoidance
- metaflow
- DeepSpeech : A TensorFlow implementation of Baidu's DeepSpeech architecture
- IBM/AccDNN : A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration.
- MetaLearningPapers : A classified list of meta learning papers based on realm.
- incremental-learning : Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
- learning-to-learn-by-pytorch
Nov - 2019
- cassie-mujoco-sim : A simulation library for Agility Robotics' Cassie robot using MuJoCo
- GMPS : Guided-Meta Policy Search
- VIBNet : Compressing Neural Networks using the Variational Information Bottleneck
- machine-learning-systems-design : A booklet on machine learning systems design with exercises
- toyCarIRL : Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)
- GPT2-Chinese : Chinese version of GPT2 training code, using BERT tokenizer.
- Financial-Models-Numerical-Methods: Collection of notebooks about quantitative finance, with interactive python code.
- geo-heatmap : Generate an interactive geo heatmap from your Google location data
- algorithm-visualizer : Algorithm Visualizer
- Deterministic-GAIL-PyTorch : PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
- SQDDPG : Shapley Q-value: A Local Reward Approach to Solve Global Reward Games
- papermill : Parameterize, execute, and analyze notebooks
- 3d-ken-burns : an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
- ICML2019-TREX
- pommerman-baseline
- gpt-2-simple
- HowToTrainYourMAMLPytorch : How to train your MAML in Pytorch
- openai/vime
- Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning
- handful-of-trials-pytorch
- reptile-pytorch
- continual-learning
- tpu_pretrain
- awesome-papers-fewshot
- Hierarchical-Actor-Critic-HAC-PyTorch
- rl-agents
- irl-imitation
- DRQN-tensorflow
- neural-mmo-client
- pytorch-transformers-classification
- random-network-distillation-pytorch
- mbpo
- vaal
- option-critic
- NLRL
- snail-pytorch
- a3c_continuous
- d4pg-pytorch
- gail_ppo_tf
- simple-blackbox-attack
- model-free-algorithms
- pytorch-maml-rl
- google-research
Oct - 2019
- Arena-BuildingToolkit
- xlnet-Pytorch
- InfoGAIL
- https://github.com/ConnorJL/GPT2
- VIBNet
- https://github.com/abhshkdz/papers
- xlnet_extension_tf
- dqn
- atari-representation-learning
- ma-gym
- LGM-Net
- reinforcement-learning-algorithms
- adanet
- transfer-learning-conv-ai
- MetaLearningPapers
- MAS-Memory-Aware-Synapses
- CADA-VAE-PyTorch
- https://github.com/ElementAI/TADAM
- highway-env
- detectron2
- awesome-rl-competitions :Star:
- https://github.com/tankche1/IDeMe-Net
- srl-zoo
- DeepEmbeddingModel_ZSL
- multiagent-gail
- Adversarial-Examples-Reading-List
- GDAN
- expRNN
- ICML2019-TREX
- learning-to-reweight-examples
- Megatron-LM
- awesome-deep-reinforcement-learning
- Chinese-PreTrained-XLNet
- disentangled-representation-papers
- VLAE
- clevr-dataset-gen
- ss-ood
- DRL_Path_Planning
- DRL
- impersonator
- nas-segm-pytorch
- neural-mmo-client
Sep - 2019
- https://github.com/TinyGrass/CV_WSSL
- domain-adapted-atsc
- tafe-net
- FaceForensics
- Realtime_Multi-Person_Pose_Estimation
- dataset-distillation
- Hands-On-Intelligent-Agents-with-OpenAI-Gym
- Codes-for-Steering-Control
- navbot
- paper-computer-vision
- SparseNet
- FAR-HO
- unlikelihood_training
- prob_mbrl
- phd-bibliography : References on Optimal Control, Reinforcement Learning and Motion Planning
- https://github.com/deepmind/leo
- DeepFaceLab : DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
- deepfakes/faceswap : Deepfakes Software For All https://www.faceswap.dev
- mlcourse.ai
- googleapis/google-cloud-python
- FAR-HO)
- Learning_to_Learn_via_Self-Critique
- https://github.com/csyanbin/TPN
- Real-Time-Voice-Cloning
- nasbot
- https://github.com/WiMLDS/conferences
- https://github.com/locuslab/trellisnet
- /LGM-Ne
- https://github.com/google/mediapipe
- https://github.com/MathieuCarriere/sklearn-tda
- live-transcribe-speech-engine
July-Aug - 2019
- GradientEpisodicMemory
- AlphaX-NASBench101
- MultiObjectiveOptimization
- Deep-Reinforcement-Learning-for-Dynamic-Spectrum-Access
- Tacotron-2 : DeepMind's Tacotron-2 Tensorflow implementation
- https://github.com/taki0112/UGATIT
- https://github.com/znxlwm/UGATIT-pytorch
- https://github.com/openai/mlsh
- https://github.com/NVIDIA/waveglow : A Flow-based Generative Network for Speech Synthesis
- https://github.com/Unity-Technologies/marathon-envs : A set of high-dimensional continuous control environments for use with Unity ML-Agents Toolkit.
- https://github.com/dsgiitr/d2l-pytorch
- https://github.com/fatchord/WaveRNN
- https://github.com/clvrai/Relation-Network-Tensorflow : Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.
- Apollo-11
- pygbm
- https://github.com/huggingface/transformers
- https://github.com/vrhk/vrhk.github.io
- https://github.com/MaxHalford/xam
- https://github.com/ddbourgin/numpy-ml
- https://github.com/rlabbe/filterpy : Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
March - 2020
- Zoom In: An Introduction to Circuits ⭐
- Visualizing Neural Networks with the Grand Tour ⭐
- The Messy, Secretive Reality Behind OpenAI’s Bid to Save the World
- From PyTorch to PyTorch Lightning — A gentle introduction
- Massively Scaling Reinforcement Learning with SEED RL
- Visual Transfer Learning for Robotic Manipulation
- Introducing Dreamer: Scalable Reinforcement Learning Using World Models
- Fast and Easy Infinitely Wide Networks with Neural Tangents
- More Efficient NLP Model Pre-training with ELECTRA
- Announcing TensorFlow Quantum: An Open Source Library for Quantum Machine Learning
- Measuring Compositional Generalization
- Toward Human-Centered Design for ML Frameworks
- microsoft-azure-openvino-toolkit
- maximize-cpu-performance-openvino
- Huiying Medical: Helping Combat COVID-19 with AI Technology
- Why BERT Fails in Commercial Environments
- How Intel Uses AI to Identify Sales & Marketing Opportunities
- Protecting Privacy in a Data-Driven World: Privacy-Preserving Machine Learning
- Streamline your Intel® Distribution of OpenVINO™ Toolkit development with Deep Learning Workbench
- From search to translation, AI research is improving Microsoft products
- Uber AI in 2019: Advancing Mobility with Artificial Intelligence
- Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
- Controlling Text Generation with Plug and Play Language Models
- How Baidu is harnessing the power of AI in the battle against coronavirus
- Physically Realistic Attacks on Deep Reinforcement Learning
- Does On-Policy Data Collection Fix Errors in Off-Policy Reinforcement Learning?
- BADGR: The Berkeley Autonomous Driving Ground Robot
- Speeding Up Transformer Training and Inference By Increasing Model Size
- White House, Hospitals, Private Companies Exploring AI to Fight Coronavirus
- Growth in Machine Learning Leading to Demand for Automated ML
- Startup Cuberg Uses AI To Build Energy Dense, Lightweight Batteries
- AI Employed to Model Progression, Research Drugs, Therapies to Fight Coronavirus
- Mobility, Hyperlanes, Bullet Trains, and AI Autonomous Cars
- Deep learning rethink overcomes major obstacle in AI industry
- Neural networks facilitate optimization in the search for new materials
- Demystifying the world of deep networks
- MIT Solve announces 2020 global challenges
- A road map for artificial intelligence policy
- System trains driverless cars in simulation before they hit the road
- A new model of vision
- Predicting how well neural networks will scale
- IBM Invests In AI Hardware
- https://github.com/microsoft/ai#ai100
- CS472 Data science and AI for COVID-19 ⭐
- 10 Awesome Data Manipulation and Wrangling Hacks, Tips and Tricks
- A Report on the Deepfake Detection Challenge
- ["[Discussion]" Predicting Bus arrival /looking for inspiration/)(https://www.reddit.com/r/MachineLearning/comments/fp8pix/discussion_predicting_bus_arrival_looking_for/)
- COVID-19 Open Research Dataset (CORD-19) ⭐
- 4 ways government can use AI to track coronavirus
- The global AI agenda: Promise, reality, and a future of data sharing
- Machine Learning Application In Healthcare : A Research paper review
- Data Science at the Command Line
- https://morioh.com/tutorials
- https://github.com/google-research/seed_rl
- How Deep Learning is Accelerating Drug Discovery in Pharmaceuticals
- UN, WHO & Mila Map the AI vs COVID-19 Battlefield ⭐
- Coronavirus Datasets from Every Country with Confirmed Cases
- Top 10 AI-Powered Chatbots to Skyrocket Your Sales
- 12 Best Audio Datasets for Machine Learning
- The Power of Graph Databases, Linked Data, and Graph Algorithms
- Navigating the New Landscape of AI Platforms
- How High-Performing Companies Develop and Scale AI
- BREAKTHROUGH RESEARCH IN REINFORCEMENT LEARNING FROM 2019
- In the Age of AI [full film]
- The GANfather: The man who’s given machines the gift of imagination
- Generating music in the waveform domain
- Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning
- https://github.com/google/neural-tangents
- Tethys enables students to code for SoftBank’s Pepper humanoid robot
- AI 100: The Artificial Intelligence Startups Redefining Industries ⭐
- The Illustrated Self-Supervised Learning
- AI Residency: Gaining skills in machine learning through mentorship and real-world applications
- How to Pick Your Grad School ⭐
- On Creativity in Academia
- 6 trends framing the state of AI and ML
- HBM Issues In AI Systems
- Deepfake Detection Challenge
Feb - 2020
- Top Trends of Graph Machine Learning in 2020
- Image segmentation in 2020
- Structuring Jupyter Notebooks For Fast and Iterative Machine Learning Experiments
- 10 Breakthrough Technologies 2020
- Anatomy of an AI System
- Chiplet Momentum Rising
- Moving To GAA FETs
- The MCU Dilemma
- Towards a Conversational Agent that Can Chat About…Anything
- Deep Learning: Our Miraculous Year 1990-1991 ⭐
- TOP AI RESEARCH ADVANCES FOR MACHINE LEARNING INFRASTRUCTURE ⭐
- Encode, Tag and Realize: A Controllable and Efficient Approach for Text Generation
- Software that swaps out words can now fool the AI behind Alexa and Siri
- How Japan Uses AI and Robotics to Solve Social Issues and Achieve Economic Growth
- Hey Alexa! Sorry I fooled you .
- Top cloud providers in 2020: AWS, Microsoft Azure, and Google Cloud, hybrid, SaaS players
- Quantum Computing Market by Technology, Infrastructure, Services, and Industry Verticals 2020 - 2025 ⭐
- The 13 Best Cloud Computing Podcasts You Should Listen To
- Interview: Exascale Computing Project Update for 2020
- Step aside CRISPR, RNA editing is taking off
- A new model and dataset for long-range memory
- OpenAI → PyTorch
- Setting Fairness Goals with the TensorFlow Constrained Optimization Library
- Generating Diverse Synthetic Medical Image Data for Training Machine Learning Models
- AutoFlip: An Open Source Framework for Intelligent Video Reframing
- TyDi QA: A Multilingual Question Answering Benchmark
- ML-fairness-gym: A Tool for Exploring Long-Term Impacts of Machine Learning Systems
- fastai—A Layered API for Deep Learning
- Tech Ethics Crisis: The Big Picture, and How We Got Here
- Streamline your Intel® Distribution of OpenVINO™ Toolkit development with Deep Learning Workbench
- Enhanced low-precision pipeline to accelerate inference with OpenVINO toolkit
- Intel® Nervana™ NNP-I Shows Best-in-Class Throughput on BERT NLP Model
- NVIDIA Awards $50,000 Fellowships to Ph.D. Students for GPU Computing Research
- An AI for Detail: Nanotronics Brings Deep Learning to Precision Manufacturing
- Spacing Out: How AI Provides Astronomers with Insights of Galactic Proportions
- Anomalies and AI Autonomous Cars
- From models of galaxies to atoms, simple AI shortcuts speed up simulations by billions of times
- The messy, secretive reality behind OpenAI’s bid to save the world
- Green AI
- Growing Neural Cellular Automata
- Pentagon to Adopt Detailed Principles for Using AI
- The Future of Minds and Machines: How artificial intelligence can enhance collective intelligence
- The Next Leap in Self-Driving: Prediction
- Inside X, Google's top-secret moonshot factory
- This Week’s Awesome Tech Stories From Around the Web (Through February 15)
- A First Look at JAX
- Deep Neural Network AI Reconstructs Mysterious Image Hidden in Picasso Painting
- How AI Is Tracking the Coronavirus Outbreak
- Turing-NLG: A 17-billion-parameter language model by Microsoft ⭐
- How analog in-memory computing can solve power challenges of edge AI inference ⭐
- Introducing PyTorch3D: An open-source library for 3D deep learning
- 2010s Decade in Review: The Rise of AI
- 2010 – 2019: The rise of deep learning
- The 2010s: Our Decade of Deep Learning / Outlook on the 2020s ⭐
- A Decade of Transformation in Robotics
- Going deep on deep learning with Dr. Jianfeng Gao
- ANNOUNCING AI NOW’S DATA GENESIS PROGRAM
- Artificial intelligence: Does another huge language model prove anything?
- Univ. of Washington President Ana Mari Cauce joins AI2’s board to build on Paul Allen’s legacy
- How to solve 90% of NLP problems: a step-by-step guide
- Setting Fairness Goals with the TensorFlow Constrained Optimization Library
- Generating Diverse Synthetic Medical Image Data for Training Machine Learning Models
- Open Images V6 — Now Featuring Localized Narratives
- Ultra-High Resolution Image Analysis with Mesh-TensorFlow
- AI Being Applied to Optimize Electric Battery Recharging
- Considering The Practical Impacts Of Achieving Einstein-Level AI
- Opening up world’s fastest RNA structure prediction algorithm to the scientific community to support battle against coronavirus
- Lessons from Tesla’s Approach to Innovation
- Competing in the Age of AI
- The AI Transparency Paradox
- Baidu at AAAI 2020: NLP, Machine Learning, and Computer Vision
- A Look Back on Baidu’s AI Innovations in 2019
- A brief history of the future
- https://www.technologyreview.com/lists/innovators-under-35/2019/
- Mariana_lin_how_we_can_bring_ai_personalities_to_life
- sylvain_duranton_how_humans_and_ai_can_work_together_to_create_better_businesses
- In the Age of AI [full film]
- How to know if artificial intelligence is about to destroy civilization
- Defeated Chess Champ Garry Kasparov Has Made Peace With AI
- Within 10 Years, We’ll Travel by Hyperloop, Rockets, and Avatars ⭐
- Iran's Most Advanced Humanoid Robot Rivals Honda's Asimo ⭐
- these-works-of-art-mess-with-our-perceptions-of-ai-and-humanity
- YOLO Creator Joseph Redmon Stopped CV Research Due to Ethical Concerns
- Contrastive Self-Supervised Learning
- ML4H 2019: Machine Learning for Health
- Spot, the Internet’s Wildest 4-Legged Robot, Is Finally Here
- The Past Decade and Future of AI’s Impact on Society
- Facebook highlights AI that converts 2D objects into 3D shapes
- How AI deep learning is transforming industrial manufacturing
- World's First University of Artificial Intelligence Opens in 2020
- Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
- Google CEO Sundar Pichai on achieving quantum supremacy ⭐
- The economics of Artificial Intelligence today ⭐
- The State of Machine Learning Frameworks in 2019 ⭐
- WHAT’S STATE OF THE ART IN AUTOML IN 2019? ⭐
- An AI Pioneer Wants His Algorithms to Understand the 'Why'
- The Next Word
- utm_campaign
- RESEARCH Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK)
- This Light-based Nervous System Helps Robots ‘Feel’
- How to respond to climate change, if you are an algorithm
- Experiments with Making Convincing AI-Generated Fake News
- YouTuber charged loads of fans $199 for shoddy machine-learning course that copy-pasted other people's GitHub code
- Bias and Generalization in Deep Generative Models
- Introducing the CodeSearchNet challenge
- Everyday people: How a massive picture database sparked a discussion about AI and bias
- Machine Learning Systems Design
- Automation via Reinforcement Learning
- Kids are surrounded by AI. They should know how it works.
- YACHT's new album is powered by ML + Artists
- AI Decoded: Evaluating Artificial Intelligence Startups
- DARPA’s New Project Is Investing Millions in Brain-Machine Interface Tech
- Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs Audio Player ⭐
- Cambridge appoints first DeepMind Professor of Machine Learning
- Robot priests can bless you, advise you, and even perform your funeral
- Artificial intelligence is changing every aspect of war
- Creating a data set and a challenge for deepfakes ⭐
- A Closer Look at the Robots Helping Us Explore Space
- When the A.I. Professor Leaves, Students Suffer, Study Says
- Replay in biological and artificial neural networks
- [P] Agent Learns to Park a Car using Unity ML-Agents / Deep Reinforcement Learning (PPO)
- AI Institute “Geometry of Deep Learning” 2019 [Day 1 | Session 1]
Aug-2019 to Jan-2020
- NeurIPS 2019 Highlights
- This Global AI Index puts the U.S at the top
- Top minds in machine learning predict where AI is going in 2020 ⭐
- A Glimpse of Our Connected Tech Future, Courtesy of CES 2020 ⭐
- AI Ethics: Artificial Intelligence, Robots, and Society ⭐
- Architecture for MLOps using TFX, Kubeflow Pipelines, and Cloud Build
- Snapshot Paper - Deepfakes and Audiovisual Disinformation ⭐
- How to Effectively Employ an AI Strategy in your Business
- Why you should care about debugging machine learning models
- Scalable AutoML in H2O
- How a Passion for Numbers Turned This Mechanical Engineer into a Kaggle Grandmaster
- How H2O propels data scientists ahead of itself: enhancing Driverless AI models with advanced options, recipes and visualizations
- Climbing the AI and ML Maturity Model Curve
- How to write a Transformer Recipe for Driverless AI
- Importing, Inspecting, and Scoring With MOJO Models Inside H2O
- How AI Will Turn Us All Into Filmmakers
- The AI delusion: why humans trump machines
- Five Ways Companies Can Adopt Ethical AI
- Cambridge Science Festival examines the effects and ethics of artificial intelligence
- Machine Learning Confronts the Elephant in the Room
- Using artificial intelligence to enrich digital maps
- gpt2-and-the-nature-of-intelligence
- Artificial Intelligence, Values and Alignment
- Contrastive Self-Supervised Learning
- Open-sourcing Polygames, a new framework for training AI bots through self-play
- Going deep on deep learning with Dr. Jianfeng Gao
- AI Can Do Great Things—if It Doesn't Burn the Planet
- Deep Learning Illustrated: Building Natural Language Processing Models
- A Sober Look at Bayesian Neural Networks
- 5 Reasons to Read Hands-On Machine Learning by Aurélien Géron (Book Review)
- Robotics and AI will create millions of jobs by 2030 and we barely know what they are yet!
- Ag robotics startup Tortuga comes out of stealth with Tesla co-founder Tarpenning on board
- Not Bot, Not Beast: Scientists Create First Ever Living, Programmable Organism
- 70,000 Tinder Photos of Women Just Got Dumped on a Cyber-Crime Forum
- EU eyes temporary ban on facial recognition in public places
- Black-Boxed Politics:
- ‘Short window’ to stop AI taking control of society, warns ex-Google employee
- AI's hardest problem? Developing common sense
- AI Can Do Great Things—if It Doesn't Burn the Planet
- What's New In Robotics? 10.01.2020
- It’s Time to Push Tech Forward, and Rebuild What It Broke
- Grilling the answers: How businesses need to show how AI decides
- Technology Can't Fix Algorithmic Injustice
- The Machine Ethics Podcast
- Our Neophobic, Conservative AI Overlords Want Everything to Stay the Same
- AI Crash Course book extract: Exploring the principles of reinforcement learning
- Future of AI Part 5: The Cutting Edge of AI
- DEEP DIVE 6 grocery trends to watch in 2020
- This Week’s Awesome Tech Stories From Around the Web (Through January 11)
- The hottest thing in robotics is an open source project you've never heard of
- Why TinyML is a giant opportunity
- Rebooting AI: Experts Call for Real Progress
- The US just released 10 principles that it hopes will make AI safer
- A.I. Is Learning to Read Mammograms
- It's time for AI ethics to grow up
- Boston Dynamic’s Terminator-esque robot, Atlas, can do the job of a warehouse worker, deal with frustrating situations, and parkour better than Michael Scott
- Samsung made a rolling robot called Ballie that runs your smart home
- Remembering robotics companies we lost in 2019
- The Artificial Intelligence Index: AI Hiring, Data, Trends
- High Hopes for 2020
- Faster Training and Inference Performance
- Facebook and the grand challenge of digital ethics
- ML4H 2019: Machine Learning for Health
- DeepMind: The Podcast - trailer
- AI ethics in the spotlight
- In 2020, let’s stop AI ethics-washing and actually do something
- How AI helps unlock the secrets of Old Master and modernist paintings
- POWERFUL USE OF AI IN CUSTOMER SERVICE
- Lack of guidance leaves public services in limbo on AI, says watchdog
- Spot, the Internet’s Wildest 4-Legged Robot, Is Finally Here
- Chasing convex bodies and other random topics with Dr. Sébastien Bubeck
- Machine Learning & Robotics: My (biased) 2019 State of the Field
- Spam Mail Filtering with DeepLearning4J
- What's New In Robotics? 27.12.2019
- 50+ Reasons Our Favorite Emerging Technologies Had an Amazing 2019
- Facebook Discovers Fakes That Show Evolution of Disinformation
- mit-ethical-ai-artificial-intelligence
- A Unified Framework of Five Principles for AI in Society
- From search to translation, AI research is improving Microsoft products
- Retail Robots Are on the Rise—at Every Level of the Industry
- Facebook is working on its own operating system
- Deepfake Bot Submissions to Federal Public Comment Websites Cannot Be Distinguished from Human Submissions
- A Discussion of Adversarial Examples Are Not Bugs, They Are Features
- The Paths Perspective on Value Learning
- Computing Receptive Fields of Convolutional Neural Networks
- Visualizing the Impact of Feature Attribution Baselines
- 10 ML & NLP Research Highlights of 2019
- Unsupervised Cross-lingual Representation Learning
- The State of Transfer Learning in NLP
- Meta-Learning Millions of Hyper-parameters using the Implicit Function Theorem
- The secular Bayesian: Using belief distributions without really believing
- Exponentially Growing Learning Rate? Implications of Scale Invariance induced by Batch Normalization
- On Marginal Likelihood and Cross-Validation
- Notes on iMAML: Meta-Learning with Implicit Gradients
- The Next New Memories
- Chiplets, Faster Interconnects, More Efficiency
- Solving The Memory Bottleneck
- Revving Up For Edge Computing
- Power Complexity On The Rise
- Multi-Patterning EUV Vs. High-NA EUV
- 5 Major Shifts In Automotive
- Defining And Improving AI Performance
- Automakers Changing Tactics On Reliability
- 5/3nm Wars Begin
- artificial-intelligence-apac-issue-25 ⭐
- Best internet providers in 2020: How to choose cable vs. DSL vs. satellite and more
- Google Research: Looking Back at 2019, and Forward to 2020 and Beyond
- Reformer: The Efficient Transformer
- Releasing the Drosophila Hemibrain Connectome — The Largest Synapse-Resolution Map of Brain Connectivity
- ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations
- The On-Device Machine Learning Behind Recorder
- Fairness Indicators: Scalable Infrastructure for Fair ML Systems
- Lessons Learned from Developing ML for Healthcare
- Google at NeurIPS 2019
- Understanding Transfer Learning for Medical Imaging
- RecSim: A Configurable Simulation Platform for Recommender Systems
- New Solutions for Quantum Gravity with TensorFlow ⭐
- Introducing the Next Generation of On-Device Vision Models: MobileNetV3 and MobileNetEdgeTPU
- New Insights into Human Mobility with Privacy Preserving Aggregation
- Highlights from the 3rd Cohort of the Google AI Residency Program
- Learning to Assemble and to Generalize from Self-Supervised Disassembly
- On-Device Captioning with Live Caption
- Introducing the Schema-Guided Dialogue Dataset for Conversational Assistants
- Google at ICCV 2019
- A New Workflow for Collaborative Machine Learning Research in Biodiversity
- Quantum Supremacy Using a Programmable Superconducting Processor ⭐ ⭐
- Video Architecture Search
- Exploring Massively Multilingual, Massive Neural Machine Translation
- ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
- Improving Quantum Computation with Classical Machine Learning
- Releasing PAWS and PAWS-X: Two New Datasets to Improve Natural Language Understanding Models
- Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model
- Contributing Data to Deepfake Detection Research ⭐
- Project Ihmehimmeli: Temporal Coding in Spiking Neural Networks
- Google at Interspeech 2019
- Learning Cross-Modal Temporal Representations from Unlabeled Videos
- Recursive Sketches for Modular Deep Learning
- Announcing Two New Natural Language Dialog Datasets
- Exploring Weight Agnostic Neural Networks ⭐
- On-Device, Real-Time Hand Tracking with MediaPipe
- Video Understanding Using Temporal Cycle-Consistency Learning
- EfficientNet-EdgeTPU: Creating Accelerator-Optimized Neural Networks with AutoML
- Robust Neural Machine Translation
- Google at ACL 2019
- Transformers at NeurIPS 2019
- https://datasetsearch.research.google.com/
- The Evolution of AlphaGo to MuZero
- The Fusion of Deep Learning and Combinatorics
- Why Intelligence might be simpler than we think
- How does Autonomous Driving Work? An Intro into SLAM
- Dopamine and temporal difference learning: A fruitful relationship between neuroscience and AI
- Using machine learning to accelerate ecological research
- Replay in biological and artificial neural networks
- Causal Bayesian Networks: A flexible tool to enable fairer machine learning
- Strengthening the AI community
- AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning
- Advanced machine learning helps Play Store users discover personalised apps Using WaveNet technology to reunite speech-impaired users with their original voices
- AlphaFold: Using AI for scientific discovery
- Deep Double Descent
- Procgen Benchmark
- Safety Gym
- GPT-2: 1.5B Release
- Solving Rubik’s Cube with a Robot Hand
- Fine-Tuning GPT-2 from Human Preferences
- Emergent Tool Use from Multi-Agent Interaction
- Testing Robustness Against Unforeseen Adversaries
- Learning Day
- GPT-2: 6-Month Follow-Up
- Learning Day
- GPT-2: 6-Month Follow-Up
- Facebook at NeurIPS 2019
- Facebook Research at EMNLP 2019
- Facebook research being presented at ICCV
- Facebook Research at Interspeech 2019
- Creating a data set and a challenge for deepfakes
- Facebook Research at KDD 2019
- Large Scale Training at BAIR with Ray Tune
- Emergent Behavior by Minimizing Chaos
- What is My Data Worth?
- Learning to Imitate Human Demonstrations via CycleGAN
- Model-Based Reinforcement Learning: Theory and Practice
- Data-Driven Deep Reinforcement Learning
- RoboNet: A Dataset for Large-Scale Multi-Robot Learning
- Look then Listen: Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following
- Collaborating with Humans Requires Understanding Them
- Functional RL with Keras and Tensorflow Eager
- Deep Dynamics Models for Dexterous Manipulation
- Sample Efficient Evolutionary Algorithm for Analog Circuit Design
- rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch
- A Deep Learning Approach to Data Compression
- Evaluating and Testing Unintended Memorization in Neural Networks
- 4 Principles for Responsible Government Use of Technology
- 8 Things You Need to Know about Surveillance
- The problem with metrics is a big problem for AI
- Concerned about the impacts of data misuse? Ways to get involved with the USF Center for Applied Data Ethics
- Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations
- Uber Goes to NeurIPS 2019
- Controlling Text Generation with Plug and Play Language Models
- COTA: Improving Uber Customer Care with NLP & Machine Learning
- An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
- Data project checklist
- Self-supervised learning and computer vision
- The problem with metrics is a big problem for AI
- nbdev: use Jupyter Notebooks for everything
- Blogging with Jupyter Notebooks
- https://www.intel.ai/memory-bottleneck-healthcare/
- https://www.intel.ai/exploring-deep-learning-face-recognition-with-thermal-images/
- AI Initiatives in Manufacturing Often Loosely Defined, Survey Finds
- Federal Government Adoption of AI and RPA Spreading; Bots Coming to GSA
- Dementia Drivers and AI Autonomous Cars
- AI Driving Personalization Efforts at Restaurants; Dynamic Drive-Thru Menus Coming
- As in Business, Cloud Strategy for Government Agencies Must Be a Fit
- AI Driving Personalization Efforts at Restaurants; Dynamic Drive-Thru Menus Coming
- Community of AI Artists Exploring Creativity with Technology
- Bootstrap Your AI Education: Here Are Some Options
- Researchers Build Framework To Avoid Machine Learning’s “Undesirable Outcomes”
- AI Being Used to Help Diagnose Mental Health Issues; Privacy Concerns Real
- Specialized AI Chip Market Seen Expanding Rapidly
- Using AI to Improve the Accuracy of Real World Data for Clinical Assertions
- MIT Press and Harvard Data Science Initiative launch the Harvard Data Science Review
- Finding novel materials for practical devices
- Guided by AI, robotic platform automates molecule manufacture
- Boosting computing power for the future of particle physics
- Artificial intelligence could help data centers run far more efficiently
- IBM gives artificial intelligence computing at MIT a lift
- Notation system allows scientists to communicate polymers more easily
- Computing and the search for new planets
- 3 Questions: How artificial intelligence is supercharging materials science
- Faster video recognition for the smartphone era
- Supercomputer analyzes web traffic across entire internet
- Helping autonomous vehicles see around corners
- Self-transforming robot blocks jump, spin, flip, and identify each other
- What makes an image memorable? Ask a computer
- Better autonomous “reasoning” at tricky intersections
- Autonomous system improves environmental sampling at sea
- Driving toward a healthier planet
- Materials Day talks examine the promises and challenges of AI and machine learning
- Visualizing an AI model’s blind spots
- Predicting people's driving personalities
- Bot can beat humans in multiplayer hidden-role games
- Helping machines perceive some laws of physics
- Differences between deep neural networks and human perception
- Exploring hip hop history with art and technology
- When machine learning packs an economic punch
- Bringing artificial intelligence and MIT to middle school classrooms
- How to verify that quantum chips are computing correctly
- Using artificial intelligence to enrich digital maps
- Gift will allow MIT researchers to use artificial intelligence in a biomedical device
- Demystifying artificial intelligence