songshuy Goto Github PK

alocc-cvpr2018

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

anomalydetector

Anomaly detection using GAN and RL

cvae-gan-based-anomaly-detection

A Novel and Efficient CVAE-GAN-BASED Approach with Informative Manifold for Semi-Supervised Anomaly Detection

deep-sad-pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

fence_gan

Fence GAN: Towards Better Anomaly Detection

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

pytorch-retinanet

Pytorch implementation of RetinaNet object detection.

pytorch-segmentation-multi-models

Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, DsenseASPP, RefineNet, RDFNet)

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch-unet-resnet-50-encoder

skip-ganomaly

Source code for Skip-GANomaly paper

surfacedefectdetection-vaegan-tensorflow

An unsupervised impurities detection method based on VAE-GAN

wgan-gp-anomaly

gan, wgan-gp, anomaly detection, unsupervised, pytorch