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aima-data

Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"

awesome-federated-learning

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

awesome-federated-learning-for-healthcare

Federated Learning Library for Healthcare

awesome-federated-machine-learning

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

awesome-fl

resources about federated learning and privacy in machine learning

cake-autorate

Eliminate the excess latency and jitter terrorizing your 4G, 5G, LTE, Starlink or other variable rate connection!

cardio

Cardiovascular disease dataset analysis for Data Science for Health (COSC 89.20)

cardiovascular_disease_prediction_using_ml

This project aims to develop a model that accurately predicts the risk of cardiovascular disease using decision trees and logistic regression. The Heart Study dataset, which includes demographic, behavioral, and medical risk factors, is used for this purpose.

chestx

Flexible federated learning enables institutions to jointly train deep learning models even when data is non-uniformly labeled. The resulting models are superior to models which are trained with conventional methods.

churn--federated-learning-

coroot

Coroot is an open-source APM & Observability tool, a DataDog and NewRelic alternative 📊, 🖥️, 👉. Powered by eBPF for rapid insights into system performance. Monitor, analyze, and optimize your infrastructure effortlessly for peak reliability at any scale.

datascience.stackexchange

fate

An Industrial Grade Federated Learning Framework

feature-selection-for-machine-learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

fed-pytorch

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

federated

A framework for implementing federated learning

federated-forest

Some notes and codes on research of Federated Forest

federated-hcm-diagnosis

A study in multi-center imaging diagnostics, emphasizing on the modality of cardiovascular magnetic resonance and the prediction of hypertrophic cardiomyopathy.

federated-learning

Implementation of a Federated Learning based CNN model

federated-learning-in-healthcare

A list of papers on Federated Deep Learning in Healthcare, in particular, algorithms Deep Learning with Medical Imaging.

federated-ml

Detect anomalies in network traffic data using Federated Machine Learning technique.

federatedlearning

Federated Learning Demo in Python using Socket Programming

federatedscope

An easy-to-use federated learning platform

fedfs

Federated Feature Selection as in the paper https://arxiv.org/abs/2109.11323

fedirm

Official implementation for MICCAI 2021 paper "Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching"

fedlearn-algo

Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers

fedmatch

This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning

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, FEDML Nexus AI (https://nexus.fedml.ai) is the dedicated cloud service for generative AI

flower

Flower: A Friendly Federated Learning Framework