FedML
ML framework
A unified and scalable machine learning library for large-scale distributed training, model serving, and federated learning.
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.
4k stars
118 watching
786 forks
Language: Python
last commit: 13 days ago
Linked from 2 awesome lists
ai-agentdeep-learningdistributed-trainingedge-aifederated-learninginference-enginemachine-learningmlopsmodel-deploymentmodel-servingon-device-training
ethicalml/awesome-production-machine-learning
innovation-cat/awesome-federated-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 google-parfait/tensorflow-federated | An open-source framework for training machine learning models across decentralized data | 2,322 |
 tensorlayer/tensorlayer | A deep learning and reinforcement learning library that provides an extensive collection of customizable neural layers to build advanced AI models quickly. | 7,335 |
 tensorflow/serving | A high-performance serving system for machine learning models in production environments. | 6,185 |
 adap/flower | A framework for building federated AI systems with customization, extensibility, and flexibility in mind. | 5,146 |
 jina-ai/serve | A framework for building and deploying AI services that can be scaled from local development to production | 21,131 |
 tflearn/tflearn | A high-level API for deep learning that builds upon TensorFlow | 9,620 |
| tensorflow/tfjs | An open-source JavaScript library for training and deploying machine learning models using WebGL acceleration. | 18,506 |
 cortexlabs/cortex | A production-ready infrastructure for deploying and managing machine learning models at scale | 8,020 |
 mlc-ai/mlc-llm | Enables the development, optimization, and deployment of large language models on various platforms using a unified high-performance inference engine. | 19,197 |
 allegroai/clearml | A suite of tools to automate and manage AI development workflows | 5,694 |
 bentoml/bentoml | An open-source Python framework for building model inference APIs and serving AI models in production environments. | 7,153 |
 mlflow/mlflow | A platform to manage the entire machine learning lifecycle, from experiment tracking to model deployment. | 18,781 |
 scaleoutsystems/fedn | An open source federated learning framework designed to be secure, scalable and easy-to-use for enterprise environments | 143 |
 tensorpack/tensorpack | A high-performance neural network training interface for TensorFlow that focuses on speed and flexibility. | 6,303 |
 federatedai/fate | An industrial-grade framework for collaborative machine learning on private data while maintaining security and privacy | 5,723 |