The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

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SHARK - High Performance Machine Learning for CPUs, GPUs, Accelerators and Heterogeneous Clusters

Unified compiler/runtime for interfacing with PyTorch Dynamo.

benchmarking some transformer deployments

MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Rocket League Team Training plugin for BakkesMod

Testing sandbox for torch-mlir on IREE

Computation using data flow graphs for scalable machine learning

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Models and examples built with TensorFlow

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe

Reversi reinforcement learning by AlphaGo Zero methods.

Tensorflow implementation of attention mechanism for text classification tasks.

A replica of the AlphaZero methodology for deep reinforcement learning in Python