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accfft

A Massively Parallel FFT Library for CPU/GPU

aitemplate

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.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

autotest

awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

baidu-allreduce

benchmark_spmv_using_csr5

CSR5-based SpMV on CPUs, GPUs and Xeon Phi

bking

Course design homework for information retrieval

blislab

BLISlab: A Sandbox for Optimizing GEMM

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

caffe2

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

cakechat

CakeChat: Emotional Generative Dialog System

casvm

chandy_lamport-quick-photo

快照算法部分

cinn

a Compiler Infrastructure for Neural Networks

clblast

Tuned OpenCL BLAS

clcudaapi

A portable high-level API with CUDA or OpenCL back-end

cmake

Mirror of CMake upstream repository

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

composable_kernel

Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

cosmos

c++11基础库

cpufp

A CPU tool for benchmarking the peak of floating points

cs425-mp1

cuda

GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time while producing identical results. The functionality and interface of LIBSVM remains the same. The modifications were done in the kernel computation, that is now performed using the GPU.

cuda-calculator

HTML/JS port of CUDA Occupancy Calculator http://news.developer.nvidia.com/2007/03/cuda_occupancy_.html

cuda-convnet

Fork of Alex Krizhevsky's cuda-convnet 1. Adds dropout.

cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2