zwshan

zwshan's Stars

• Lin-Mao/DrGPUM

  A memory profiler for NVIDIA GPUs to explore memory inefficiencies in GPU-accelerated applications.

  Language:Python222

• LitLeo/TensorRT_Tutorial

  Language:C++992185

• BlinkDL/RWKV-CUDA

  The CUDA version of the RWKV language model ( https://github.com/BlinkDL/RWKV-LM )

  Language:Cuda21235

• tgale96/grouped_gemm

  PyTorch bindings for CUTLASS grouped GEMM.

  Language:Cuda5440

• jundaf2/cutlass-b2bgemm

  an extension to the cutlass half-precision b2b gemm example

  Language:C++12

• masahi/cutlass_fpA_intB_gemm

  Language:C++62

• cloudcores/CuAssembler

  An unofficial cuda assembler, for all generations of SASS, hopefully ：）

  Language:Python40572

• daadaada/turingas

  Assembler for NVIDIA Volta and Turing GPUs

  Language:Python20240

• proplot-dev/proplot

  🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics

  Language:Python1.1k102

• baobuiquang/ParallelLSTM

  Parallel LSTM training for sequence prediction from sequential data.

  Language:Jupyter Notebook3

• salesforce/pytorch-qrnn

  PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

  Language:Python1.3k193

• Shubodh/Optimizing-LSTMs-on-GPU

  Implementation of the paper "Optimizing Performance of Recurrent Neural Networks on GPUs" in CUDA and OpenMP.

  Language:C++52

• daliansky/minisforum-UM560XT-Hackintosh

  6916

• Xmingbai/Minisforum-UM560-UM580-APU-Hackintosh

  483

• zwshan/libtorch_with_cuda_kernel

  libtorch with custom cuda kernel

  Language:CMake1

• daliansky/Beelink-SER5-Hackintosh

  18427

• timvieira/crf

  Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the vocrf project https://github.com/timvieira/vocrf

  Language:Python342116

• taku910/crfpp

  CRF++: Yet Another CRF toolkit

  Language:Shell506193

• lorenlugosch/pytorch_HMM

  HMMs in PyTorch

  Language:Jupyter Notebook13531

• benfred/py-spy

  Sampling profiler for Python programs

  Language:Rust12.9k431

• MrNeRF/cuda_libtorch_googletest_template

  This project is a CUDA and libtorch-based template, intended to serve as a starting point for high performance computing and machine learning projects on NVIDIA GPUs. It uses Google Test as a testing framework to test against libtorch.

  Language:Cuda5

• mtreviso/linear-chain-crf

  Implementation of a linear-chain CRF in PyTorch

  Language:Python9522

• clearhanhui/LearnLibTorch

  LibTorch 中文教程。

  Language:Python918

• chunxxc/lokatt

  An open source HMM-DNN nanopore DNA basecaller

  Language:Python3

• teelinsan/parallel-decoding

  Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"

  Language:Python1108

• aieater/rocm_pytorch_informations

  The official page of ROCm/PyTorch will contain information that is always confusing. On this page we will endeavor to describe accurate information based on the knowledge gained by GPUEater infrastructure development.

  889

• Liu-xiandong/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.

  Language:Cuda827132

• nanoporetech/fast-ctc-decode

  Blitzing Fast CTC Beam Search Decoder

  Language:Rust17827

• alexballas/go2tv

  Cast media files to UPnP/DLNA Media Renderers and Smart TVs.

  Language:Go52252

• buddy-compiler/buddy-benchmark

  Benchmark Framework for Buddy Projects

  Language:C4839