DingXiaoKe

955.WLB

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

dcgan

This is a deep convolutional generative adversarial network designed to generate realistic images based on the CIFAR-10 dataset.

Cyber-attack-detection

GANs

Implementations of WGAN and WGAN-GP trained on CIFAR-10 and Tiny Imagenet

GANotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

zeta-learn

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

Cifar-Autoencoder

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

AAE_pytorch

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

AdversarialVariationalBayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Libraries

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

error-detection

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Unsupervised-Anomaly-Detection-with-Generative-Adversarial-Networks

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset

AnoGAN-tf

Tensorflow implementation of Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery, Schlegl et al.

DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

DCGAN-CIFAR10

A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image

DSEBM

Deep Structured Energy Based Model

ML-Proj

Projet of the ENS M1 Machine Learning course

cnn-energy-model

A Theano implementation of a CNN DSEBM (deep structured energy-based model) described in https://arxiv.org/pdf/1605.07717v2.pdf

mixup

Implementation of the mixup training method

cifar10_gans_pytorch

Pytorch implementation of DCGAN on CIFAR10

keras-acgan

Auxiliary Classifier Generative Adversarial Networks in Keras

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

tensorflow-generative-model-collections

Collection of generative models in Tensorflow