- Google Cloud AutoML初体验 解决人工智能和机器学习的高门槛，降低高使用成本
- Anaconda:最省心的Python版本和第三方库管理——初探Anaconda
- Scrapy, a fast high-level web crawling & scraping framework for Python.
- admin ui for scrapy/open source scrapinghub
- Visual scraping for Scrapy
- 简单易用的Python爬虫框架
- 数据科学家的完整学习路径（Python版） 参考
- 神经网络与深度学习导引（吴恩达）
- 【入门推荐】10行命令感受机器学习的神奇（0基础小白适用）
- 深度学习入门信息汇总-知乎
- 如何用70行Java代码实现深度神经网络算法
- 【经典书籍】Deep Learning Book Chinese Translation
- 机器学习基础算法 (线性回归、容量/过拟合/欠拟合、最大似然估计、偏差和方差、贝叶斯统计、监督学习算法、无监督学习算法、随机梯度下降、正则化等)
- 随机森林算法概述
- BP神经网络算法概述
(推荐吴恩达视频课程，内容深入浅出。其中1是网易免费版，尚无习题，如需要可在链接2注册获取。)
- 吴恩达给你的人工智能第一课【初学推荐】
- Deep Learning Specialization Master Deep Learning, and Break into AI【原版附带习题】
- 斯坦福监督学习课程
- 斯坦福李飞飞-深度学习计算机视觉
- Artificial Intelligence(人工智能)
- Computer Vision and Pattern Recognition(计算机视觉和模式识别)
- The most cited deep learning papers
- Deep Learning papers reading roadmap for anyone
- A curated list of awesome Deep Learning tutorials, projects and communities.
- Efficient and Robust Automated Machine Learning
- Microsoft COCO: Common Objects in Context
- Speed/accuracy trade-offs for modern convolutional object detectors
- Torch is a scientific computing framework for machine learning algorithms that puts GPUs first
- Code and data for paper "Deep Photo Style Transfer"
- keras:Deep Learning library for TensorFlow and Theano
- keras-rl:Deep Reinforcement Learning for Keras
- 小白上手第一步：hello world!
- 小白上手进击之：mnist
- DNC/L2L/..（Deepmind开源代码汇总）
- Github Index（Deepmind官方GitHub）
- DNC:A TensorFlow implementation of the Differentiable Neural Computer.
- sonnet:TensorFlow-based neural network library
- lab:A customisable 3D platform for agent-based AI research
- Deepmind org lab page
- L2L PAPER:Learning to learn by gradient descent by gradient descent
- ImageNet:image-net:计算机视觉系统识别项目 目前世界上图像识别最大的数据库
- Kaggle:The Home of Data Science & Machine Learning Kaggle helps you learn, work, and play
- AutoML:CLOUD AUTOML ALPHA Train high quality custom machine learning models with minimum effort and machine learning expertise
- 数据可视化分析工具汇总
- A powerful, interactive charting and visualization library for browser
- Google机器学习可视化工具Facets：从全新角度观察数据
- Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
- CUDA在线学习
- A distributed tracing system, and APM ( Application Performance Monitoring )
- 垃圾邮件/情绪分析/智能客服等：Library for fast text representation and classification.
- 脸部识别：The world's simplest facial recognition api for Python and the command line.
- Android物体识别APP：Fast-RCNN and Scene Recognition using Caffe
- Google物体识别API：Object_Detection_Tensorflow_API
- 对于谷歌开源的TensorFlow Object Detection API视频物体识别系统实现教程
- 谷歌宣布在中国成立人工智能研究中心
- 谷歌AI中心成立！中国成为全世界的AI猎场 中国在人工智能领域取得巨大成就，超过60%AI论文华人所写
- 谷歌AI中国中心正式成立 李飞飞李佳领衔(视频)
- 李飞飞发文发布谷歌云AutoML Vision平台，订制化的企业级机器学习模型不再是难题
| Project Name | Stars | Description |
|---|---|---|
| TensorFlow | 87240 | Computation using data flow graphs for scalable machine learning. |
| TensorFlow Models | 27191 | Models built with TensorFlow. |
| Keras | 24620 | Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow. |
| Caffe | 22528 | Caffe: a fast open framework for deep learning. |
| TensorFlow Examples | 19669 | TensorFlow tutorials and code examples for beginners. |
| Neural Style | 15205 | Torch implementation of neural style algorithm. |
| CNTK | 13701 | Computational Network Toolkit (CNTK). |
| MXNet | 12883 | Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more. |
| Deep Dream | 10923 | Deep Dream. |
| OpenAI Gym | 9789 | A toolkit for developing and comparing reinforcement learning algorithms. |
| OpenFace | 9080 | Face recognition with deep neural networks. |
| ConvNet JS | 8658 | Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser. |
| Magenta | 8563 | Magenta: Music and Art Generation with Machine Intelligence |
| Roc AlphaGo | 8465 | An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016). |
| Neural Doodle | 8312 | Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.) |
| deeplearning4j | 8173 | Deep Learning for Java, Scala & Clojure on Hadoop, Spark. |
| Theano | 7696 | Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation. |
| Torch | 7633 | Torch7, Deep Learning Library. |
| TFLearn | 7527 | Deep learning library featuring a higher-level API for TensorFlow. |
| Char RNN | 7343 | Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. |
| TensorFlow Playground | 6181 | Play with neural networks! |
| Synaptic | 5725 | architecture-free neural network library for node.js and the browser |
| Nupic | 5457 | Numenta Platform for Intelligent Computing: a brain-inspired machine intelligence platform, and biologically accurate neural network based on cortical learning algorithms. |
| Leaf | 5179 | Open Machine Intelligence Framework for Hackers. |