F
FedML
FedML-AI/FedML
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.
★4.1kstars
Python
Apache-2.0
Updated: 1w ago
📋 Project at a Glance
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What's this?Data & Infrastructure project leveraging ai-agent and deep-learning, built with Python, open-source
Who made it?Maintained by FedML-AI team, 4.1K⭐ on GitHub, #460 out of 3133 in Data & Infrastructure
Why does it exist?The FedML-AI team recognized that existing ai-agent tools in Data & Infrastructure were hard to use. FedML was designed to make deep-learning more accessible.
What can it do?Key use cases: distributed-training, edge-ai, federated-learning
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/FedML-AI/FedML | 官网 https://TensorOpera.ai
🔗 github.com/FedML-AI/FedML | 官网 https://TensorOpera.ai
Topics
ai-agentdeep-learningdistributed-trainingedge-aifederated-learninginference-enginemachine-learningmlopsmodel-deploymentmodel-servingon-device-training