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adaptive-soft-sensor-design

Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

keras

Deep Learning for humans

lenet-5-tensorflow

Object oriented Tensorflow implementation of the famous LeNet5 network by Yann Lecun.

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

pytorch-mnist-celeba-cgan-cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

ra-gan

scaeg

A Semantic Controllable Adversarial example Generation Method Based on Disentangled Representation

semi-supervised-gan

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

semi-supervised-learning-gan

Semi-supervised Learning GAN

shap

A game theoretic approach to explain the output of any machine learning model.

ssgan-tensorflow

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

ssl_bad_gan

Good Semi-Supervised Learning That Requires a Bad GAN

stacked-autoencoder-pytorch

Stacked denoising convolutional autoencoder written in Pytorch for some experiments.

tensorflow-mnist-cgan-cdcgan

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

zju-clock-in

浙江大学健康打卡