DL基础
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CS231n课程总结
总结出了每一节课程的精华要点。 - CSDN博客Tensorflow实战学习笔记、代码、机器学习进阶系列
- 《机器学习基石》和《机器学习技法》课程笔记
- 机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
- 13张动图，彻底看懂马尔科夫链、PCA和条件概率
- Deep Learning - From Basics to Practice notebook 代码
- 手动实现NN中各个模块
- Segnet, FCN, UNet and other models in Keras.
- MATLAB library for stochastic optimization algorithms
- A Python Toolbox for Ensemble Learning and Visualisation
- 机器学习100天
- facebook AI 研究院免费课：Intro to Deep Learning with PyTorch
- Deep Learning and Reinforcement Learning Summer School, Toronto 2018
Domain knowledge总结
50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn
开源论文
- Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease (MICCAI 2018 MLCN workshop) (Code)
- Norm matters: efficient and accurate normalization schemes in deep networks (paper) (code)
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