Popular GitHub Repositories for Jit Compilation

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Universal LLM Deployment Engine with ML Compilation

FlashInfer: Kernel Library for LLM Serving

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

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.

Library for specialized dense and sparse matrix operations, and deep learning primitives.

A compilation of the best multi-agent papers

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

yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

A model compilation solution for various hardware

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

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

SLING - A natural language frame semantics parser

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.

A language and compiler for irregular tensor programs.

DeTerministic Virtual Machine with SmartCogent.

A differentiable physics engine and multibody dynamics library for control and robot learning.