An Awesome List of Awesomes

This is a simple aggregation of all of the "Awesome --Topic name--" github repos I've found till date and I feel are important to get started in the corresponding Topic.

The topics are relevant to Data lifecycle, Machine Learning, Deep learning research and some distributed computing.

Note: Not all of these links are actively maintained but some of them may serve as good starting points. There are multiple lists for certain topics which may or may not have common links, I have added them with a serial number under the topic in no particular order.

Topic wise ML and DL research

• Multitask learning
• Self supervised learning
• Semi supervised learning
• Weakly Supervised Image Segmentation
  • Weakly Supervised Image Segmentation link 1
  • Weakly Supervised Image Segmentation link 2
• Adversarial ML
• Architecture Search
• Contrastive self supervised learning
• Zero shot learning
• One shot learning
• Few shot learning
• Siamese networks
• Contrastive learning
• Visual transformers
• Transformers for vision
• Transformers
• OpenSetRecognition list
• Incremental learning
• Meta Learning
  • Meta learning link 1
  • Meta learning link 2
• Deep learning uncertainty
• Semantic segmentation
• Long tailed recognition/learning
  • Long tailed recognition link 1
  • Long tailed recognition link 2
  • Long tailed recognition link 3
• Image matting
• Image inpainting
• Conformal predictions
• Scene understanding
• Panoptic Segmentation
  • Panoptic Segmentation link 1
  • Panoptic Segmentation link 2
• Object Detection
  • Object Detection link 1
  • Object Detection link 2
• Image Denoising
  • Image Denoising link 1
  • Image Denoising link 2
• Continual Learning/Lifelong learning
• Multimodal learning
  • Multimodal learning link 1
  • Multimodal learning link 2
• Active learning
  • Active learning link 1
  • Active learning link 2
• Deep Reinforcement Learning
• Knowledge Distillation
  • Knowledge distillation link 1
  • Knowledge distillation link 2
• Local Global Descriptors
• Image Captioning
  • Image Captioning link 1
  • Image Captioning link 2
• Image to Image translation
• Text To Speech
• Text to Image synthesis
  • Text to Image link 1
  • Text to Image link 2
• Speech recognition & synthesis
• Speaker Diarization
• Action Recognition
• Video understanding
• Pose Estimation
  • Pose estimation link 1
  • Pose estimation link 2
• Machine translation
• Visual Question Answering (VQA)
  • Visual Question Answering link 1
  • Visual Question Answering link 2
• Question Answering (QA)
  • Question Answering link 1
  • Question Answering link 2
  • Question Answering link 3
• Explainable Graph Reasoning
• Knowledge Graph Question Answering
• Text Summarization
  • Text Summarization link 1
  • Text Summarization link 2
• Optical Character Recognition (OCR)
  • Optical Character Recognition (OCR) link 1
  • Optical Character Recognition (OCR) link 2
• Graph Neural Networks (GNN)
  • Graph Neural Networks (GNN) link 1
  • Graph Neural Networks (GNN) link 2
  • Graph Neural Networks (GNN) link 3
• Generative Adversarial Networks (GAN)
  • Generative Adversarial Networks (GAN) link 1
  • Generative Adversarial Networks (GAN) link 2
• Optical Flow
• 360 vision
• Energy based models
• Decision Trees
• XGBoost
• Metric Learing
• Recommendation Systems
  • Recommendation Systems link 1
  • Recommendation Systems link 2
• Point Cloud Analysis
• Pruning
• Neural Ordinary Differential Equations (ODE)
• Autonomous Vehicles (FSD)
  • Autonomous Vehicles (FSD) link 1
  • Autonomous Vehicles (FSD) link 2
• Curriculum Learning
• Causal Inference/ML
  • Causal Inference/ML Link 1
  • Causal Inference/ML Link 2
  • Causal Inference/ML Link 3
• Satellite Image Deep Learning
• Transfer learning, Domain Adaption & Domain Generalization
• Transfer learning, Domain Adaption & Domain Generalization
• Transfer learning, Domain Adaption & Domain Generalization link 1
• Transfer learning, Domain Adaption & Domain Generalization link 2
• Transfer learning, Domain Adaption & Domain Generalization link 3
• Domain Adaption - Object detection
• Image Restoration
• Variational Autoencoders
• Bayesian inference/Bayesian DL
  • Bayesian inference/Bayesian DL link 1
  • Bayesian inference/Bayesian DL link 2
• Deep Geometrical Learning
• Drug Discovery
• Representation Learning
• Time series
  • Time series link 1
  • Time series link 2
• Unsupervised/Weakly supervised learning
• Neural Rendering
  • Neural Rendering link 1
  • Neural Rendering link 2

Generic Data cycle, Deep learning, CV, NLP lists

• Deep Vision
• Computer vision
• Image processing applications with OpenCV
• DL papers
• DL paper reading roadmap
• Applied Deep Learning
• NLP
  • NLP link 1
  • NLP link 2
• Naas.ai Jupyter Templates for data projects
• GPT 3
  • GPT 3 link 1
  • GPT 3 link 2

Data and ML lifecycle

• Data Engineering
  • Data Engineering link 1
  • Data Engineering link 2
• Data Labeling
• Software Engineering for Machine Learning
• Production level DL
  • Production level DL link 1
  • Production level DL link 2
• ML system design
• Applied ML
• MLOps
  • MLOps link 1
  • MLOps link 2
• Explainable AI(XAI)
  • Explainable AI (XAI) link 1
  • Explainable AI (XAI) link 2

Distributed systems and more

• ASGI
• Distributed systems
• Python
• Microservices
• Design Patterns
• Asyncio Python

Contribution guide

Please to create an issue in case of broken link, typos or topic request. Feel free to create a Pull Request in case you find some new interesting awesome list, but before that verify if that same repo link isn't already a part of the existing list. In case of multiple links for a single topic, if they are forks of each other, please raise a PR to fix that with the latest fork's link.

TODOs

• Rearrange the topics in alphabetical order
• Bifurcate or tag topics based on specialization (CV, NLP) etc
• Add definitions for certain tasks
• Convert README to a tabular format