Popular GitHub Repositories for Jit Compiler

? Empowering everyone to build reliable and efficient smart contracts.

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

Open deep learning compiler stack for cpu, gpu and specialized accelerators

FlashInfer: Kernel Library for LLM Serving

A retargetable MLIR-based machine learning compiler and runtime toolkit.

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

Training and serving large-scale neural networks with auto parallelization.

Enabling PyTorch on XLA Devices (e.g. Google TPU)

A list of awesome compiler projects and papers for tensor computation and deep learning.

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

[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

High-performance automatic differentiation of LLVM and MLIR.

nGraph has moved to OpenVINO

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

BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.

TypeScript Agentic AI Library specialized for LLM Function Calling enhanced by compiler skills.

Dataflow compiler for QNN inference on FPGAs

Adlik: Toolkit for Accelerating Deep Learning Inference