Alternatives and similar repositories for CUDA

Users that are interested in CUDA are comparing it to the libraries listed below

• PatWie / cuda-design-patterns
  Some CUDA design patterns and a bit of template magic for CUDA
  ☆156Updated 2 years ago
• lzhengchun / matrix-cuda
  matrix multiplication in CUDA
  ☆123Updated last year
• eegkno / CUDA_by_practice
  CUDA by practice
  ☆129Updated 5 years ago
• bwasti / pytorch_compiler_tutorial
  Codebase associated with the PyTorch compiler tutorial
  ☆46Updated 5 years ago
• NVIDIA / kmeans
  kmeans clustering with multi-GPU capabilities
  ☆119Updated 2 years ago
• pytorch / cppdocs
  PyTorch C++ API Documentation
  ☆232Updated this week
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆65Updated 3 years ago
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆270Updated 4 years ago
• jaredhoberock / stanford-cs193g-sp2010
  This is an archive of materials produced for an introductory class on CUDA programming at Stanford University in 2010
  ☆220Updated 3 years ago
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆132Updated 3 years ago
• YulhwaKim / cutlass_tilesparse
  CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
  ☆51Updated 7 years ago
• puttsk / cuda-tutorial
  A set of hands-on tutorials for CUDA programming
  ☆230Updated last year
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆56Updated 3 years ago
• VoVAllen / tf-dlpack
  DLPack for Tensorflow
  ☆35Updated 5 years ago
• OrangeOwlSolutions / General-CUDA-programming
  ☆44Updated 7 years ago
• octoml / public-tvm-docker
  Build TVM docker image for production compilation deployments
  ☆12Updated 3 years ago
• mark-poscablo / gpu-sum-reduction
  CUDA implementation of the fundamental sum reduce operation. Aims to be as optimized as reasonable.
  ☆37Updated 8 years ago
• chrischoy / MakePytorchPlusPlus
  How and why you want to make your pytorch CUDA/CPP extension with a Makefile
  ☆172Updated 6 years ago
• pwlnk / cuda-neural-network
  Simple neural network implementation using CUDA technology. It is an educational implementation.
  ☆97Updated 7 years ago
• mlcommons / training_results_v0.7
  This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.
  ☆57Updated 2 years ago
• NVlabs / condensa
  Programmable Neural Network Compression
  ☆148Updated 3 years ago
• zchee / cuda-sample
  CUDA official sample codes
  ☆372Updated 9 years ago
• NVIDIA / compute-sanitizer-samples
  Samples demonstrating how to use the Compute Sanitizer Tools and Public API
  ☆85Updated last year
• EBD-CREST / nsparse
  Sparse matrix computation library for GPU
  ☆56Updated 5 years ago
• MagmaDNN / magmadnn
  MagmaDNN: a simple deep learning framework in c++
  ☆50Updated 4 years ago
• NVIDIA / nvtx-plugins
  Python bindings for NVTX
  ☆66Updated 2 years ago
• iree-org / iree-nvgpu
  ☆50Updated last year
• NVIDIA / nsight-training
  Training material for Nsight developer tools
  ☆163Updated 11 months ago
• andersy005 / tvm-in-action
  TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together
  ☆64Updated 7 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆177Updated 6 years ago