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Name: Ashkan Pirmani
Type: User
Name: Ashkan Pirmani
Type: User
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Examples and recipes around federated learning in Azure ML.
Example notebooks demonstrating how to use Clara Train to build Medical Imaging Deep Learning models
π Software Developer Portfolio Template that helps you showcase your work and skills as a software developer.
Collection of Docker images with headless VNC environments
Dockfile for Ubuntu with Unity desktop environment and noVNC.
A Docker image to provide web VNC interface to access Ubuntu LXDE/LxQT desktop environment.
Realtime log viewer for docker containers.
Comparison between federated and centralized training method
[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
A framework for implementing federated learning.
Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data
A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
Everything about Federated Learning (papers, tutorials, etc.) -- θι¦ε¦δΉ
Documentation of my Federated Learning Project
Federated Learning Demo in Python using Socket Programming
FederatedPy
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)
A highly scalable and flexible federated learning framework
PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
Federated Learning For Everyone (FL4E)
FL4E-Analysis
Flower - A Friendly Federated Learning Framework
Federation Learning Toolkit
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.