Federated AI Ecosystem (@FederatedAI)
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FederatedAI

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  • Stars
    star
    7,486
  • Global Org. Rank 3,133 (Top 1.0 %)
  • Registered about 5 years ago
  • Most used languages
    Python
         52.6 %
    Java
         26.3 %
    Go
         10.5 %
    Jupyter Notebook
         5.3 %
    Shell
         5.3 %

Top repositories

1

FATE

An Industrial Grade Federated Learning Framework
Python
5,594
star
2

Practicing-Federated-Learning

Python
715
star
3

KubeFATE

Manage federated learning workload using cloud native technologies.
Go
418
star
4

eggroll

A Simple High Performance Computing Framework for [Federated] Machine Learning
Java
241
star
5

research

Python
164
star
6

FATE-Serving

A scalable, high-performance serving system for federated learning models
Java
135
star
7

FATE-LLM

Federated Learning for LLMs.
Python
130
star
8

DOC-CHN

FedAI η€ΎεŒΊδΈ­ζ–‡ζ–‡ζ‘£
Python
128
star
9

FedVision

Federated Computer Vision Engine
Python
112
star
10

FATE-Board

FATE's Visualization Toolkit
Java
97
star
11

FATE-Flow

Solution for deploying and managing end-to-end federated learning workflows
Python
50
star
12

FedRec

Python
37
star
13

FATE-Cloud

Infrastructure for building and managing Federated Data Collaboration Network
Java
30
star
14

FATE-Community

How FedAI community is running
25
star
15

AnsibleFATE

Shell
21
star
16

FedLCM

A web application that manages lifecycles of federated learning federations.
Go
19
star
17

InterOp

Repository for Interoperability of FATE
10
star
18

FATE-Builder

A release packing tool for FATE
Jupyter Notebook
7
star
19

FATE-Client

Python
3
star
20

highflip-fate-adapter

FATE Adapter for HighFlip
Java
3
star
21

benchmark_kits

1
star
22

FATE-Test

Python
1
star