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Name: Kong Kok Lung
Type: User
Company: UMS
Name: Kong Kok Lung
Type: User
Company: UMS
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Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
Federated Learning Library for Healthcare
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
resources about federated learning and privacy in machine learning
Eliminate the excess latency and jitter terrorizing your 4G, 5G, LTE, Starlink or other variable rate connection!
Cardiovascular disease dataset analysis for Data Science for Health (COSC 89.20)
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.
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.
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.
An Industrial Grade Federated Learning Framework
Methods with examples for Feature Selection during Pre-processing in Machine Learning.
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
A framework for implementing federated learning
Some notes and codes on research of Federated Forest
A study in multi-center imaging diagnostics, emphasizing on the modality of cardiovascular magnetic resonance and the prediction of hypertrophic cardiomyopathy.
Implementation of a Federated Learning based CNN model
A list of papers on Federated Deep Learning in Healthcare, in particular, algorithms Deep Learning with Medical Imaging.
Detect anomalies in network traffic data using Federated Machine Learning technique.
Federated Learning Demo in Python using Socket Programming
An easy-to-use federated learning platform
Federated Feature Selection as in the paper https://arxiv.org/abs/2109.11323
Official implementation for MICCAI 2021 paper "Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching"
Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers
This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint 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, FEDML Nexus AI (https://nexus.fedml.ai) is the dedicated cloud service for generative AI
Flower: A Friendly Federated Learning Framework
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.