Popular GitHub Repositories for Compiler

? Empowering everyone to build reliable and efficient smart contracts.

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

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

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

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

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

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

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

nGraph has moved to OpenVINO

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

Dataflow compiler for QNN inference on FPGAs

Adlik: Toolkit for Accelerating Deep Learning Inference

Open deep learning compiler stack for Kendryte AI accelerators ?

An open-source efficient deep learning framework/compiler, written in python.

NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network

An ML-like functional programming language

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.

An experimental deep learning framework for Nim based on a differentiable array programming language

Ygen - Yet another code generation libary

TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.