Unified compiler/runtime for interfacing with PyTorch Dynamo.

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

compiler learning resources collect.

An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).

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

A list of tutorials, paper, talks, and open-source projects for emerging compiler and architecture

MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器

The quantitative performance comparison among DL compilers on CNN models.

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

System for AI Education Resource.

Hummingbird compiles trained ML models into tensor computation for faster inference.

Dive into Deep Learning Compiler