AI + Data, online. https://vespa.ai

A streamlined and customizable framework for efficient large model evaluation and performance benchmarking

Reachy Mini's SDK

COCOS CLI

A collection of MCP servers.

OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)

A platform for end-to-end development of machine learning solutions in biomedical imaging

The HIP Environment and ROCm Kit - A lightweight open source build system for HIP and ROCm

Storage Orchestration for Kubernetes

NGINX Gateway Fabric provides an implementation for the Gateway API using NGINX as the data plane.

Informative site with EoL dates of everything

Public interface definitions of Google APIs.

Always know what to expect from your data.

Spring Framework

A generative world for general-purpose robotics & embodied AI learning.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Box64 - Linux Userspace x86_64 Emulator with a twist, targeted at ARM64, RV64 and LoongArch Linux devices

The Open Standard for Generative UI

Verifiers for LLM Reinforcement Learning

IronClaw is OpenClaw inspired implementation in Rust focused on privacy and security

A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks …

Making it easier to work with shaders

Go implementation of the Ethereum protocol

Open Source Alternative to Vercel, Netlify and Heroku.

super repo for rocm libraries

A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices,…

You like pytorch? You like micrograd? You love tinygrad! ❤️

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.