Popular GitHub Repositories for Component Failure Distribution

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

Fully customizable AI chatbot component for your website

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

The basic distribution probability Tutorial for Deep Learning Researchers

? Lobe UI - an open-source UI component library for building AIGC web apps

SHARK Studio -- Web UI for SHARK+IREE High Performance Machine Learning Distribution

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

The React library for LLMs

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

?云原生、超高性能 AI&API网关，LLM API 管理、分发系统、开放平台，支持所有AI API，不限于OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型，统一 API 请求和返回，API申请与审批，调用统计、负载均衡、多模型灾备。一键部署，开箱即用。Cloud native, ultra-high performance AI&API gateway, LLM API management, distribution system, open platform, supporting all AI APIs.

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

Streamlit Component, for a Chatbot UI

Benchmarking Generalized Out-of-Distribution Detection

Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

Lightweight, useful implementation of conformal prediction on real data.