Popular GitHub Repositories for Cooperative Fl

? CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org

Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

A benchmark environment for fully cooperative human-AI performance.

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.

FedScale is a scalable and extensible open-source federated learning (FL) platform.

[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"

A decentralized agent network for building collaborative, LLM-powered agent-to-agent (A2A) systems.

[ICCV 2023] Implicit Neural Representation for Cooperative Low-light Image Enhancement

[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

Official code for paper "Learning to Use Tools via Cooperative and Interactive Agents"

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes

PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning

Standard federated learning implementations in FedLab and FL benchmarks.

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.

Java免费离线AI算法工具箱，支持人脸识别(人脸比对，人脸库查询(Milvus/SQLite)，人脸属性检测，活体检测)、目标检测(支持 YOLO，SSD、自训练模型)、OCR文字识别、机器翻译（200+语言翻译）等功能，致力于为开发者提供开箱即用的 AI 能力，无需 Python 环境，Maven 引用即可使用。已集成 SeetaFace6、YOLOv8、PaddleOCR 等主流模型