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DL Compiler
Training and serving large-scale neural networks with auto parallelization.
A list of awesome compiler projects and papers for tensor computation and deep learning.
Reinforcement learning environments for compiler and program optimization tasks
A retargetable MLIR-based machine learning compiler and runtime toolkit.
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
High-performance automatic differentiation of LLVM and MLIR.
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
The Tensor Algebra SuperOptimizer for Deep Learning
Automatic Mapping Generation, Verification, and Exploration for ISA-based Spatial Accelerators
A language and compiler for irregular tensor programs.
PlaidML is a framework for making deep learning work everywhere.
Machine learning compiler based on MLIR for Sophgo TPU.
A list of tutorials, paper, talks, and open-source projects for emerging compiler and architecture
A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services