机器学习、深度学习资料存档

zxl19 2021-06-15

机器学习、深度学习相关资料存档。

公开课

  1. 吴恩达机器学习
  2. Kaggle

教程

  1. 动手学深度学习
  2. 神经网络与深度学习
  3. 机器学习
  4. AI算法工程师手册
  5. Machine Learning Yearning
  6. Practical Deep Learning for Coders
  7. Neural Network and Deep Learning
  8. Pattern Recognition and Machine Learning
  9. Foundations of Machine Learning
  10. Avik-Jain/100-Days-Of-ML-Code
  11. google-research/tuning_playbook
  12. openai/openai-cookbook
  13. microsoft/ai-edu
  14. andkret/Cookbook
  15. datawhalechina/leedl-tutorial
  16. ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
  17. unclestrong/DeepLearning_LHY21_Notes
  18. Visualize-ML/Book7_Visualizations-for-Machine-Learning
  19. leerumor/ai-study
  20. blueberrymusic/Deep-Learning-A-Visual-Approach
  21. mikeizbicki/cmc-csci143
  22. mikeizbicki/cmc-csci145-math166

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/Reinforcement-learning-with-tensorflow
  3. MorvanZhou/Tensorflow-Tutorial
  4. 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