Popular GitHub Repositories for Aot Compilation

Universal LLM Deployment Engine with ML Compilation

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. ?

A curated list of useful resources that cover Offensive AI.

Compilation of high-profile real-world examples of failed machine learning projects

A compilation of the best multi-agent papers

A model compilation solution for various hardware

This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

A curated compilation of AI-driven generative music resources and projects. Explore the blend of machine learning algorithms and musical creativity.

A modern, lightweight, and customizable C# Discord library with Native AOT support, immutable caching, voice capabilities, and complete API coverage.

Objeck is a modern object-oriented programming language with functional features tailored for machine learning. It emphasizes expression, simplicity, portability, and scalability. The programming environment consists of a compiler, virtual machine, REPL shell, and command line debugger with IDE plugins.

TensorFlow Lite : native compilation on the Raspberry Pi Zero W

Comprehensive Compilation of Real-World LLM Implementation in Financial Services

auto-rust is an experimental project that automatically generate Rust code with LLM (Large Language Models) during compilation, utilizing procedural macros.

Atom of Thoughts (AoT) MCP is a server that decomposes complex problems into independent atomic units of thought, using the dependencies between these units to deliver more robust reasoning and validated insights.

jaxspec is an X-ray spectra Bayesian analysis package, relying on JAX to enable just in time compilation

A compilation of AI safety ideas, problems, and solutions.

JAX Tutorial notebooks : basics, crash & tips, usage of optax/JaxOptim/Numpyro

Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA, GARCH, Markov Regime Switching), traditional stock prediction tools (Monte Carlo), sentiment analysis (NLP) as well as portfolio optimization, with purpose to provide a better understanding regarding possible future price movements of the analyzed stock and propose an optimal asset allocation.

The Leading Third-Party GPT Store, featuring a compilation of OpenAI, CharacterAI, and POE GPT Agents.