Stars
This library summarizes the sate-of-the-art explainable intelligent fault diagnosis methods.
[Up-to-date] A curated list of resources on cold-start recommendations.
AutoTestPlatform for fault injection with RflySim
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
A collection of papers and resources related to Large Language Models.
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
Reading list for research topics in multimodal machine learning
Code sharing of fault diagnosis papers.
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".
[PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
[KBS 2022] Informative knowledge distillation for image anomaly segmentation
[IEEE TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
Painlessly create beautiful matplotlib plots.
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
An index of algorithms for learning causality with data
A curated list of Causality in Computer Vision
A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
Awesome things about domain generalization, including papers, code, etc.
Must-read papers on graph neural networks (GNN)
《深入浅出图神经网络：GNN原理解析》配套代码
Graph Neural Network Library for PyTorch