Popular GitHub Repositories for Federated Architectures

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.

A curated list of references for MLOps

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

Flower: A Friendly Federated AI Framework

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

Semantic Segmentation Architectures Implemented in PyTorch

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

A next-gen FOSS self-hosted unified zero trust secure access platform that can operate as a remote access VPN, a ZTNA/BeyondCorp architecture, API/AI gateway, a PaaS, an infrastructure for MCP & A2A architectures or even as an ngrok-alternative and a homelab infrastructure.

A unified framework for privacy-preserving data analysis and machine learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Master Federated Learning in 2 Hours—Run It on Your PC!

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Synthetic data generators for tabular and time-series data

An easy-to-use federated learning platform

This repo contains implementation of different architectures for emotion recognition in conversations.

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data