- amusi/TensorFlow-From-Zero-To-One
- 学习TensorFlow的参考资料、笔记和代码
- aymericdamien/TensorFlow-Examples
- 詳細的ML、NN範例和教學
- osforscience/TensorFlow-Course
- 簡略的ML、NN範例和教學
- tensorflow/models
- Models and examples built with TensorFlow
- jikexueyuanwiki/tensorflow-zh
- 谷歌全新开源人工智能系统TensorFlow官方文档中文版
- erhwenkuo/deep-learning-with-keras-notebooks
- Keras 詳細中文教學、範例
- yunjey/pytorch-tutorial
- PyTorch Tutorial for Deep Learning Researchers
- L1aoXingyu/pytorch-beginner
- pytorch tutorial for beginners
- MorvanZhou/PyTorch-Tutorial
- Build your neural network easy and fast
- PyTorch动态神经网络
- zergtant/pytorch-handbook
- 中文PyTorch入門書
- pytorch-template
- PyTorch deep learning projects made easy.
- rushter/MLAlgorithms
- Minimal and clean examples of machine learning algorithms implementations
- Avik-Jain/100-Days-Of-ML-Code
- 機器學習基礎概念、算法簡略圖解及解釋
- 中文版：MLEveryday/100-Days-Of-ML-Code
- eriklindernoren/ML-From-Scratch
- Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
- trekhleb/homemade-machine-learning
- 蠻詳細的機器學習算法解釋及範例
- rasbt/deeplearning-models
- A collection of various deep learning architectures, models, and tips (pytorch & tensorflow)
- kailashahirwar/cheatsheets-ai
- Essential Cheat Sheets for deep learning and machine learning researchers
- apachecn/AiLearning
- AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP http://ailearning.apachecn.org/
- GokuMohandas/practicalAI
- 非常詳細的ML、DL算法教學和代碼
- 中文版：MLEveryday/practicalAI-cn
- donnemartin/data-science-ipython-notebooks
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
- dformoso/machine-learning-mindmap
- A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
- Deep Learning by Andrew Ng
- fengdu78/deeplearning_ai_books
- 吴恩达老师的深度学习课程笔记及资源
- stormstone/deeplearning.ai
- deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
- Kulbear/deep-learning-coursera
- Deep Learning Specialization by Andrew Ng on Coursera.
- bighuang624/Andrew-Ng-Deep-Learning-notes
- 吴恩达《深度学习》系列课程笔记及代码 http://kyonhuang.top/Andrew-Ng-Deep-Learning-notes/#/
- JudasDie/deeplearning.ai
- enggen/Deep-Learning-Coursera
- fengdu78/deeplearning_ai_books
- stanford-cs-229-machine-learning
- afshinea/stanford-cs-229-machine-learning
- VIP cheatsheets for Stanford's CS 229 Machine Learning https://stanford.edu/~shervine/teaching/cs-229
- afshinea/stanford-cs-229-machine-learning
- stanford-cs-230-deep-learning
- afshinea/stanford-cs-230-deep-learning
- VIP cheatsheets for Stanford's CS 230 Deep Learning https://stanford.edu/~shervine/teaching/cs-230/
- afshinea/stanford-cs-230-deep-learning
- Machine Learning by Andrew Ng
- fengdu78/Coursera-ML-AndrewNg-Notes
- 吴恩达老师的机器学习课程个人笔记
- fengdu78/Coursera-ML-AndrewNg-Notes
- Python Data Science Handbook
- Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
- 统计学习方法
- Dod-o/Statistical-Learning-Method_Code
- 手写实现李航《统计学习方法》书中全部算法
- fengdu78/lihang-code
- 《统计学习方法》的代码实现
- SmirkCao/Lihang
- Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]
- Dod-o/Statistical-Learning-Method_Code
- Learning from data (林軒田機器學習課程參考書目)
- Feature Engineering for Machine Learning
- Official Source@O'REILLY
- alicezheng/feature-engineering-book
- 作者 Alice Zheng 寫的書中代碼
- apachecn/feature-engineering-for-ml-zh
- [译] 面向机器学习的特征工程 http://fe4ml.apachecn.org
- Deep Leaning with Python
- fengdu78/machine_learning_beginner/deep-learning-with-python-notebooks
- 超詳細基於Keras的深度學習教材
- fengdu78/machine_learning_beginner/deep-learning-with-python-notebooks
- Dive into Deep Learning
- d2l-ai/d2l-zh
- 《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。 http://zh.d2l.ai
- d2l-ai/d2l-zh
- terryum/awesome-deep-learning-papers
- The most cited deep learning papers
- amusi/daily-paper-computer-vision
- 计算机视觉/深度学习/机器学习相关方向的论文
- zziz/pwc
- (CVPR, NIPS, ICML, ICCV, ECCV) Papers with code. Sorted by stars.
- hoya012/deep_learning_object_detection
- A paper list of object detection using deep learning.
- apachecn/kaggle
- Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）
- iphysresearch/DataSciComp
- A collection of popular Data Science Competitions
- Smilexuhc/Data-Competition-TopSolution
- Data competition Top Solution 数据竞赛Top解决方案开源整理
- CyC2018/CS-Notes
- 📚 技术面试必备基础知识 https://cyc2018.github.io/CS-Notes
- amusi/AI-Job-Recommend
- 国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）
- imhuay/Algorithm_Interview_Notes-Chinese
- 2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
- apachecn/awesome-algorithm
- LeetCode, HackRank, 剑指offer, classic algorithm implementation
- elviswf/DeepLearningBookQA_cn
- 深度学习面试问题 回答对应的DeepLearning中文版页码
- thomasj02/DeepLearningProjectWorkflow
- Machine Learning Workflow, from Andrew Ng's lecture at Deep Learning Summer School 2016
- guillaume-chevalier/Awesome-Deep-Learning-Resources
- ChristosChristofidis/awesome-deep-learning
- osforscience/deep-learning-ocean
- howie6879/mlhub123
- 机器学习&深度学习网站资源汇总（Machine Learning Resources）
- floodsung/Deep-Learning-Papers-Reading-Roadmap
- src-d/awesome-machine-learning-on-source-code
- Cool links & research papers related to Machine Learning applied to source code (MLonCode)
- changwookjun/StudyBook
- Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)