Popular GitHub Repositories for Jit

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

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.

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

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.

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.

? Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

Using Just In Time (JIT) instruction decryption, this shellcode loader ensures that only the currently executing instruction is visible in memory.

A JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.

Interface for PyTorch's C++ backend, focusing on ATen, AutoGrad, and JIT

在JAX程序中执行并微分Tesseract，完全支持JIT、梯度等函数转换。⚡

Comparing PyTorch, JIT and ONNX for inference with Transformers

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

Develop C++/CUDA extensions with PyTorch like Python scripts