seth-lu

3D-Machine-Learning

A resource repository for 3D machine learning

cmake-examples

Useful CMake Examples

collaborative-attention

Code for Multi-Head Attention: Collaborate Instead of Concatenate

convGemm

The convGemm library performs the convolution operation using an implicit im2row or im2col over a GEMM operation with matrices in either the NHWC or NCHW format, respectively.

cs344

Introduction to Parallel Programming class code

cuda_sgemm

DimReduce

HPC-Knowledge-Library

Im2win

Represent-ML-algorithm-by-Tensor-Algebra

Machine learning algorithm, Tensor， ITensor

seth-lu/Im2win

seth-lu/HPC-Knowledge-Library

seth-lu/Represent-ML-algorithm-by-Tensor-Algebra

Machine learning algorithm, Tensor， ITensor

seth-lu/convGemm

The convGemm library performs the convolution operation using an implicit im2row or im2col over a GEMM operation with matrices in either the NHWC or NCHW format, respectively.

seth-lu/3D-Machine-Learning

A resource repository for 3D machine learning

seth-lu/cmake-examples

Useful CMake Examples

seth-lu/collaborative-attention

Code for Multi-Head Attention: Collaborate Instead of Concatenate

seth-lu/cs344

Introduction to Parallel Programming class code

seth-lu/cuda_sgemm

seth-lu/DimReduce

seth-lu/EfficientConvolution

Implementation of an efficient convolution between 3D tensors and 4D tensors.

seth-lu/Fastor

A lightweight high performance tensor algebra framework for modern C++

seth-lu/how-to-optimize-gemm

seth-lu/How_to_optimize_in_GPU

This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.

seth-lu/implicit_gemm_convolution

seth-lu/ITensor

A C++ library for efficient tensor network calculations

seth-lu/laser

The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers

seth-lu/Learn-CUDA-Programming

Learn CUDA Programming, published by Packt

seth-lu/LibtorchTutorials

This is a code repository for pytorch c++ (or libtorch) tutorial.

seth-lu/libxsmm

Library for specialized dense and sparse matrix operations, and deep learning primitives.

seth-lu/ls110082

Config files for my GitHub profile.

seth-lu/mtensor

A C++ Cuda Tensor Lazy Computing Library

seth-lu/ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

seth-lu/NN-CUDA-Example

Several simple examples for popular neural network toolkits calling custom CUDA operators.

seth-lu/PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

seth-lu/pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

seth-lu/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

seth-lu/splatt

The Surprisingly ParalleL spArse Tensor Toolkit.

seth-lu/visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

seth-lu/zh-google-styleguide

Google 开源项目风格指南 (中文版)