TODS: An Automated Time-series Outlier Detection System

A curated list of time series augmentation resources.

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

This is a list of awesome demos, tutorials, utilities and overall resources for the robotics community that use MATLAB and Simulink.

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

Run multiple independent anomaly detection (object flaws and motor defects) workloads on a single system via multiple virtual machines using a Kernel-based Virtual Machine (KVM) host.

List of papers, code and experiments using deep learning for time series forecasting

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

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

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

A curated list of awesome self-supervised methods

Must-read papers on graph neural networks (GNN)

A collection of AWESOME things about domian adaptation

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

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

清华大学计算机学科推荐学术会议和期刊列表

A notebook tutorial series for performing predictive maintenance using machine learning

Image augmentation for machine learning experiments.

Source codes for the paper "Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study"

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explana…

Summaries of papers on machine learning, computer vision, autonomous robots etc.

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

Notes and experiments to understand deep learning concepts

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

The basic distribution probability Tutorial for Deep Learning Researchers