人工智能学习资料存档

zxl19 2021-06-15

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. Avik-Jain/100-Days-Of-ML-Code
  8. andkret/Cookbook
  9. Visualize-ML/Book7_Visualizations-for-Machine-Learning
  10. mikeizbicki/cmc-csci143
  11. mikeizbicki/cmc-csci145-math166

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. openai/baselines
  4. ShangtongZhang/reinforcement-learning-an-introduction
  5. MorvanZhou/Reinforcement-learning-with-tensorflow
  6. thu-ml/tianshou
  7. zhoubolei/introRL
  8. huggingface/lerobot
  9. NeuronDance/DeepRL
  10. Khrylx/PyTorch-RL
  11. kaixindelele/DRLib
  12. RobustFieldAutonomyLab/DRL_graph_exploration

笔记

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

框架学习

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. hackl/tikz-network
  6. 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. openvinotoolkit/openvino
  4. Tencent/TNN
  5. open-mmlab/mmdeploy

剪枝

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

参考

  1. d2l-ai/d2l-zh
  2. nndl/nndl.github.io
  3. deeplearning-ai/machine-learning-yearning-cn
  4. fastai/fastbook
  5. fastai/course20
  6. 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
  7. 吴恩达新书《Machine Learning Yearning》完整中文版开源-忆臻的文章-知乎
  8. 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
  9. 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
  10. 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
  11. 【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
  12. 深度学习、机器学习模型可视化神器：netron-田海山的文章-知乎
  13. 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
  14. 科研作图的一些个人想法-高峰OUC的文章-知乎
  15. 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
  16. 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