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keras-gan

Keras implementations of Generative Adversarial Networks.

kymatio

Wavelet scattering transforms in Python with GPU acceleration

lihang-code

《统计学习方法》的代码实现

literaturedl4graph

matlab_spoc

Matlab code for SSD, SPoC, mSPoC, and cSPoC

mmd-critic

multi-speaker-tacotron-tensorflow

Multi-speaker Tacotron in TensorFlow.

nonlinearcomponentanalysis

Application of principal component analysis capturing non-linearity in the data using kernel approach

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

prml

PRML algorithms implemented in Python

projects

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

regularized_spoc

Matlab implementation of regularization techniques for the SPoC algorithm

rppg-toolbox

semi-supervised-gan

There is the semi-supervised implement of 'Improved Techniques for Training GANs '

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

trustscore

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

zhangyslab.github.io