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Yinghai Lu's Projects

ainotes icon ainotes

Some notes that I wrote while studying machine learning

aitemplateoss icon aitemplateoss

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

benchmark icon benchmark

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

caffe2 icon caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

cutlass icon cutlass

CUDA Templates for Linear Algebra Subroutines

fbgemm icon fbgemm

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

fbthrift icon fbthrift

Facebook's branch of Apache Thrift, including a new C++ server.

folly icon folly

An open-source C++ library developed and used at Facebook.

foxi icon foxi

ONNXIFI with Facebook Extension

functorch icon functorch

functorch is a prototype of JAX-like composable function transforms for PyTorch.

glow icon glow

Compiler for Neural Network hardware accelerators

julia icon julia

The Julia Language: A fresh approach to technical computing.

mkl-dnn icon mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

onnx icon onnx

Open Neural Network Exchange

pytext icon pytext

A natural language modeling framework based on PyTorch

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tensorrt icon tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tvm icon tvm

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

tvm-1 icon tvm-1

TVM integration into PyTorch

xformers icon xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

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