人工智能学习资料存档

zxl19 2021-06-15

我的人工智能学习资料存档，包括机器学习、深度学习、强化学习。

教程

机器学习

  1. 吴恩达机器学习
  2. Machine Learning Yearning
  3. Kaggle
  4. 机器学习
  5. Pattern Recognition and Machine Learning
  6. Foundations of Machine Learning
  7. Data Science at the Command Line
  8. Avik-Jain/100-Days-Of-ML-Code
  9. datawhalechina/pumpkin-book
  10. andkret/Cookbook
  11. Jack-Cherish/Machine-Learning
  12. Visualize-ML/Book7_Visualizations-for-Machine-Learning
  13. datawhalechina/statistical-learning-method-solutions-manual
  14. mikeizbicki/cmc-csci143
  15. mikeizbicki/cmc-csci145-math166
  16. CHH3213/chh-MachineLearning

深度学习

  1. 动手学深度学习
  2. 神经网络与深度学习
  3. AI算法工程师手册
  4. Understanding Deep Learning
  5. Practical Deep Learning for Coders
  6. Deep Learning
  7. Neural Network and Deep Learning
  8. google-research/tuning_playbook
  9. openai/openai-cookbook
  10. exacity/deeplearningbook-chinese
  11. microsoft/ai-edu
  12. datawhalechina/leedl-tutorial
  13. Ewenwan/MVision
  14. ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
  15. careywyr/UnderstandingDeepLearning-ZH-CN
  16. unclestrong/DeepLearning_LHY21_Notes
  17. leerumor/ai-study
  18. blueberrymusic/Deep-Learning-A-Visual-Approach

强化学习

  1. openai/gym
  2. dennybritz/reinforcement-learning
  3. huggingface/lerobot
  4. openai/baselines
  5. ShangtongZhang/reinforcement-learning-an-introduction
  6. datawhalechina/easy-rl
  7. MorvanZhou/Reinforcement-learning-with-tensorflow
  8. thu-ml/tianshou
  9. zhoubolei/introRL
  10. NeuronDance/DeepRL
  11. tonyzhaozh/aloha
  12. Khrylx/PyTorch-RL
  13. kaixindelele/DRLib
  14. huggingface/gym-pusht
  15. RobustFieldAutonomyLab/DRL_graph_exploration
  16. CHH3213/chhRL

大模型

  1. datawhalechina/self-llm
  2. datawhalechina/llm-cookbook
  3. datawhalechina/happy-llm
  4. datawhalechina/llm-universe
  5. Lordog/dive-into-llms
  6. datawhalechina/hello-agents
  7. datawhalechina/all-in-rag

笔记

  1. Data Science Cheat Sheets
  2. afshinea/stanford-cs-229-machine-learning
  3. afshinea/stanford-cs-230-deep-learning
  4. afshinea/stanford-cs-221-artificial-intelligence
  5. ermongroup/cs228-notes
  6. shervinea/cheatsheet-translation
  7. aaronwangy/Data-Science-Cheatsheet
  8. ml874/Data-Science-Cheatsheet
  9. percyliang/cs229t
  10. dcetin/eth-cs-notes
  11. albertpumarola/deep-learning-notes

框架学习

CUDA

  1. CUDA Programming Guide
  2. CUDA C++ Programming Guide (Legacy)
  3. CUDA C++ Programming Guide PDF
  4. CUDA C++ Best Practices Guide
  5. CUDA中文手册
  6. srush/GPU-Puzzles
  7. NVIDIA/cutlass
  8. xlite-dev/LeetCUDA
  9. NVIDIA/cuda-samples
  10. HeKun-NVIDIA/CUDA-Programming-Guide-in-Chinese
  11. rkinas/cuda-learning
  12. xlite-dev/ffpa-attn
  13. dsl-learn/LeetGPU
  14. CUDA编程指北：从入门到实践-离心的文章-知乎
  15. CUDA（一）：CUDA编程基础-紫气东来的文章-知乎
  16. CUDA（二）：GPU的内存体系及其优化指南-紫气东来的文章-知乎
  17. CUDA（三）：通用矩阵乘法：从入门到熟练-紫气东来的文章-知乎
  18. CUDA（四）：使用CUDA实现Transformer结构-紫气东来的文章-知乎

PyTorch

  1. yunjey/pytorch-tutorial
  2. pytorch/examples
  3. MorvanZhou/PyTorch-Tutorial
  4. pytorch/tutorials
  5. hunkim/PyTorchZeroToAll
  6. L1aoXingyu/pytorch-beginner
  7. dragen1860/Deep-Learning-with-PyTorch-Tutorials

Tensorflow

  1. chiphuyen/stanford-tensorflow-tutorials
  2. MorvanZhou/Tensorflow-Tutorial
  3. easy-tensorflow/easy-tensorflow

神经网络可视化

  1. lutzroeder/netron
  2. HarisIqbal88/PlotNeuralNet
  3. dair-ai/ml-visuals
  4. ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
  5. kennethleungty/Neural-Network-Architecture-Diagrams
  6. hackl/tikz-network
  7. ThomasRobertFr/deep-learning-figures

自动机器学习

框架

  1. ray-project/ray
  2. microsoft/nni
  3. keras-team/autokeras
  4. automl/auto-sklearn
  5. autogluon/autogluon
  6. allegroai/clearml
  7. microsoft/FLAML
  8. mljar/mljar-supervised
  9. determined-ai/determined

超参数优化

  1. optuna/optuna
  2. hyperopt/hyperopt
  3. keras-team/keras-tuner
  4. autonomio/talos
  5. hyperopt/hyperopt-sklearn
  6. kubeflow/katib

神经网络分析

  1. amirgholami/PyHessian
  2. Verified-Intelligence/auto_LiRPA

模型部署

格式

  1. onnx/onnx
  2. microsoft/onnxruntime
  3. daquexian/onnx-simplifier

框架

  1. google/mediapipe
  2. Tencent/ncnn
  3. Netflix/metaflow
  4. openvinotoolkit/openvino
  5. Tencent/TNN
  6. open-mmlab/mmdeploy

剪枝

  1. Tencent/PocketFlow
  2. tensorflow/model-optimization
  3. open-mmlab/mmrazor

参考

  1. 吴恩达新书《Machine Learning Yearning》完整中文版开源-忆臻的文章-知乎
  2. deeplearning-ai/machine-learning-yearning-cn
  3. jeroenjanssens/data-science-at-the-command-line
  4. 火爆GitHub的《机器学习100天》，有人把它翻译成了中文版！-红色石头的文章-知乎
  5. 撒花！《神经网络与深度学习》中文教程正式开源！复旦邱锡鹏所著-红色石头的文章-知乎
  6. d2l-ai/d2l-zh
  7. 火爆网络的《神经网络与深度学习》，有人把它翻译成了中文版！-红色石头的文章-知乎
  8. nndl/nndl.github.io
  9. fastai/fastbook
  10. fastai/course20
  11. 吴恩达的CS229，有人把它浓缩成6张中文速查表！-红色石头的文章-知乎
  12. 【杂谈】那些酷炫的深度学习网络图怎么画出来的？-言有三的文章-知乎
  13. 深度学习、机器学习模型可视化神器：netron-田海山的文章-知乎
  14. 23款神经网络的设计和可视化工具（8.12 更新）-鑫鑫淼淼焱焱的文章-知乎
  15. 科研作图的一些个人想法-高峰OUC的文章-知乎
  16. 神经网络的宏包丝滑排版令人流连忘返-我是科研小秘书的文章-知乎
  17. 想学习高性能计算的知识，如何快速入门。?-沉睡的推理小五郎的回答-知乎
  18. [CUDA基础]📚LeetCUDA: v3.0大升级-面试刷题不迷路-DefTruth的文章-知乎
  19. [CUDA优化][3w字]🔥高频面试题汇总-大模型手撕CUDA-DefTruth的文章-知乎
  20. [Attention优化][2w字]📚原理篇: 从Online-Softmax到FlashAttention V1/V2/V3-DefTruth的文章-知乎
  21. LeetGPU入门教程 (CUDA guide最佳实践)-BobHuang的文章-知乎
  22. CUDA C++ Programming Guide-建成的文章-知乎
  23. 如何评价亚马逊AI新开源自动机器学习项目AutoGluon?-mileistone的回答-知乎