Popular GitHub Repositories for Async Fl

Document intelligence framework for Python - Extract text, metadata, and structured data from PDFs, images, Office documents, and more. Built on Pandoc, PDFium, and Tesseract.

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。

HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start giving your AI agents safe access to the world. Agentic Workflows, human in the loop, tool calling

ChatGPT at home! Basically a better Google Nest Hub or Amazon Alexa home assistant. Built on the Raspberry Pi using the OpenAI API.

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

⛓️ build cognitive systems, pythonic

Swift Package for OpenAI's API

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

Minimalist web framework for C

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

Fluxus Stream Processing Engine

Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

Standard federated learning implementations in FedLab and FL benchmarks.

Orkhon: ML Inference Framework and Server Runtime

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.

PrimiHub platform is a Muti-Party Computation and Muti-Party federated task security scheduling platform for MPC and FL point to point service.

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

Async transport layers for MCP

An async, fully autonomous coding agent.