A curated list of references for MLOps
-
Updated
May 23, 2023
A curated list of references for MLOps
data science on data without acquiring a copy
An Industrial Grade Federated Learning Framework
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
Flower: A Friendly Federated Learning Framework
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
A unified framework for privacy-preserving data analysis and machine learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
An easy-to-use federated learning platform
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
[pip install medmnist] 18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
算法刷题指南、Java多线程与高并发、Java集合源码、Spring boot、Spring Cloud等笔记,源码级学习笔记后续也会更新。
Awesome Multitask Learning Resources
Personalized federated learning simulation platform with non-IID and unbalanced dataset
An open framework for Federated Learning.
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
A Privacy-Preserving Framework Based on TensorFlow
Add a description, image, and links to the federated-learning topic page so that developers can more easily learn about it.
To associate your repository with the federated-learning topic, visit your repo's landing page and select "manage topics."