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tensorcomprehensions

A domain specific language to express machine learning workloads.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorlib

tensorrt

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

texturizing-ppcg

tiramisu

A polyhedral compiler for expressing fast and portable data parallel algorithms

tlcbench

Benchmark scripts for TVM

torch2trt

An easy to use PyTorch to TensorRT converter

torchgpipe

A GPipe implementation in PyTorch

torchqtm

TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.

torchsparse

triton

Development repository for the Triton language and compiler

turingas

Assembler for NVIDIA Volta and Turing GPUs

tutorial_bayesiancompressionfordl

A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).

tvm

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

tvm-cutlass-eval

tvm-webgl-demo

tvm-winograd

Test winograd convolution written in TVM for CUDA and AMDGPU

tvm.schedule

examples for tvm schedule API

tvm_phone

tvm arm gpu opencl

tvm_walk_through

code reading for tvm

tvmgemmasync

twisted-clang

Clang 11 toolchain for ARM/ARM64 compiled with PGO + LTO for maximum performance. Binutils 2.34 is included. Supports LLD and Polly. Thx nathanchance and Kdrag0n for build scripts.

v3-open-api-sdk

visiontransformer

vnpy

基于Python的开源量化交易平台开发框架

wmma_extension

An extension library of WMMA API (TensorCore API)

wmma_tensorcore_sample

Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)

worldquant_alpha101_code

Code implementation of the Quantigic 101 Formulaic Alphas

xnnpack

High-efficiency floating-point neural network inference operators for mobile, server, and Web