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A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

Python 528 112 Updated Aug 24, 2020

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Python 4,645 771 Updated Jan 10, 2024

PyTorch implementations of Generative Adversarial Networks.

Python 16,034 4,031 Updated Jun 18, 2024

This is an implementation of the VAE (Variational Autoencoder) for Cifar10

Python 59 21 Updated Dec 20, 2021

Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.

Python 87 18 Updated Jun 17, 2024

A simple and effective method for single-class classification of images

Python 155 35 Updated Nov 29, 2021

Wide Residual Networks (WideResNets) in PyTorch

Python 331 77 Updated Apr 29, 2021

PRML algorithms implemented in Python

Jupyter Notebook 11,337 3,261 Updated May 14, 2022

Pytorch implementation of Center Loss

Python 954 219 Updated Feb 19, 2023

Virtual Adversarial Training (VAT) implementation for PyTorch

Python 297 43 Updated Dec 19, 2018

pytorch tutorial for beginners

Python 2,968 1,086 Updated Feb 12, 2022

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

Python 330 96 Updated Nov 22, 2022

Implementation of Consistency-based anomaly detection (ConAD)

Python 7 1 Updated Nov 22, 2019

A Collection of Variational Autoencoders (VAE) in PyTorch.

Python 6,272 1,044 Updated Jun 13, 2024

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Python 22,041 9,493 Updated Jul 4, 2024

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

1,745 223 Updated May 24, 2024

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

11,193 2,094 Updated Jun 16, 2024

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Jupyter Notebook 4,198 1,232 Updated May 3, 2024

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Jupyter Notebook 18,024 5,364 Updated Oct 14, 2021

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Jupyter Notebook 5,413 2,156 Updated Jun 18, 2023

Pytorch Implementation of OpenAI's PixelCNN++

Python 344 76 Updated Apr 1, 2021

An unofficial PyTorch implementation of SNGAN (ICLR 2018) and cGANs with projection discriminator (ICLR 2018).

Python 156 32 Updated Nov 5, 2019

Implementation of the mixup training method

Python 460 82 Updated Jun 12, 2018

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Jupyter Notebook 387 106 Updated Dec 24, 2022

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

15,163 2,808 Updated Feb 1, 2024

A curated list of awesome anomaly detection resources

2,694 518 Updated Sep 20, 2022

Keep an Eye on Defects Inspection.

C++ 867 368 Updated Mar 14, 2023

Anomaly detection related books, papers, videos, and toolboxes

Python 8,087 1,736 Updated Jul 11, 2024