Popular GitHub Repositories for Degradation Population 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]

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

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

?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

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.

全新的高颜值/高性能的AI模型接口管理与分发系统，仅供个人学习使用，请勿用于任何商业用途，本项目基于NewAPI开发。A brand new high aesthetic/high-performance AI model interface management and distribution system is only for personal or internal management and distribution channels of enterprises. Please do not use it for commercial purposes.

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

A parallel framework for population-based multi-agent reinforcement learning.

Python package for conformal prediction

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

Official PyTorch implementation of Fully Attentional Networks