gxhrid's repositories
Awesome-of-Time-Series-Augmentation
A curated list of time series augmentation resources.
ad_examples
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/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
awesome-imbalanced-learning
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
awesome-matlab-robotics
This is a list of awesome demos, tutorials, utilities and overall resources for the robotics community that use MATLAB and Simulink.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
Deep-Learning-Experiments
Notes and experiments to understand deep learning concepts
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
DL-based-Intelligent-Diagnosis-Benchmark
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
Industrial-Anomaly-Detection
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.
Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning
This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Predictive-Maintenance
A notebook tutorial series for performing predictive maintenance using machine learning
Time-Series-Papers
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
tods
TODS: An Automated Time-series Outlier Detection System
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.