AWS AI Stack – A ready-to-use, full-stack boilerplate project for building serverless AI applications on AWS

AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Fu…

Software architect roadmap

Navigate the complex landscape of .NET software architecture with our step-by-step, story-like guide. Unpack the interplay between modular monoliths, microservices, domain-driven design, and variou…

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

This repository has examples of broken patterns in ASP.NET Core applications

An open source multi-tool for exploring and publishing data

An LLM playground you can run on your laptop

Convert soccer event stream data to SPADL and value player actions using VAEP or xT

An easy-to-use federated learning platform

PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially…

Tecton's Sample Repository of Feature Definitions

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

Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习

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

Privacy Preserving Vertical Federated Learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

📚 👓 A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.

Awesome list of open-source startup alternatives to well-known SaaS products 🚀

Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such…

A collection of Google research projects related to Federated Learning and Federated Analytics.

FedScale is a scalable and extensible open-source federated learning (FL) platform.

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

A Simple High Performance Computing Framework for [Federated] Machine Learning

A scalable, high-performance serving system for federated learning models

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 o…

An open framework for Federated Learning.