Minimalistic large language model 3D-parallelism training

a rust playground powered by rust-analyzer

Flusso: A secure, high-performance API Gateway + Ingress Controller for Kubernetes, written in Rust.

Secure-by-default HTTP servers in Go.

Like `kubectl get all`, but get really all resources

A Go package for working with dates

(WIP) 🦀 An Insanely Fast 🚀 Full Stack Content Generation SaaS Platform Powered by Dioxus, Dioxus Server Functions, Axum, Unsplash, Gemini AI & MongoDB.

Cargo subcommand for optimizing Rust binaries/libraries with PGO and BOLT.

A nix-darwin developer setup for an M3 mac

A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API

Superfast fullstack react framework

💃 Dance with Intelligence in Your Code. Minuet AI integrates with nvim-cmp, offering AI completion from popular LLMs including OpenAI, Gemini, Claude, and more.

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?

Flexpilot - Open-Source, Native and a True GitHub Copilot Alternative for VS Code

Convert patterns from Oniguruma (the regex flavor used in Ruby, TextMate grammars, etc.) to native JavaScript RegExp

JavaScript to WASM compiler

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

An attempt to create a Zed extension written in JavaScript

Write your github workflows in rust

Ergonomic and precise error handling provided by error sets. Inspired by Zig's error set type.

TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.

An embedded scheme interpreter in Rust

Get your documents ready for gen AI

Learn and Practice the Rust programming language the effective way.

🌀 Ridiculously fast, fully asynchronous, sharded hashmap for Rust.

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

Source code reading with LLM.

Provides assert_eq! like macros with colorized diff output