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adversarial_autoencoder

A wizard's guide to Adversarial Autoencoders

aeon

A toolkit for conducting machine learning tasks with time series data

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-ai-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

awesome-imbalanced-learning

Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

awesome-longtailed-learning

A curated list of awesome deep long-tailed learning resources.

awesome-longtailed-recognition

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

awesome-of-long-tailed-recognition

A curated list of long-tailed recognition resources.

awesome-pytorch-list

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

contrastive_learning_papers

A list of contrastive Learning papers

coreloss

data-centric-ai

A curated, but incomplete, list of data-centric AI resources.

dg-phm

This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis.

diffusion-models-papers-survey-taxonomy

Diffusion model papers, survey, and taxonomy

few-shot-fault-diagnosis

A few shot learning repository for bearing fault diagnosis.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

journals-of-prognostics-and-health-management

智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）

numpy-ml

Machine learning, in numpy

pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

pytorch-beginner

pytorch tutorial for beginners

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

the-gan-zoo

A list of all named GANs!

tods

TODS: An Automated Time-series Outlier Detection System

transfer-learning-fault-diagnosis-pytorch

A transfer learning fault diagnosis repository covering popular algorithms