Alternatives and similar repositories for neural-network-cuda:

Users that are interested in neural-network-cuda are comparing it to the libraries listed below

• ThoenigAdrian / NeuralNetworksCudaTutorial
  Implement Neural Networks in Cuda from Scratch
  ☆22Updated 10 months ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆174Updated last year
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆173Updated 8 months ago
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆92Updated 10 months ago
• SzymonOzog / FastSoftmax
  ☆28Updated 2 months ago
• CisMine / Guide-NVIDIA-Tools
  NVIDIA tools guide
  ☆119Updated 2 months ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆87Updated 2 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆202Updated 3 weeks ago
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆53Updated 3 years ago
• axonn-ai / axonn
  A parallel framework for training deep neural networks
  ☆57Updated last week
• gpu-mode / profiling-cuda-in-torch
  ☆152Updated last year
• CisMine / Parallel-Computing-Cuda-C
  CUDA Learning guide
  ☆349Updated 9 months ago
• wzsh / wmma_tensorcore_sample
  Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)
  ☆127Updated 4 years ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆114Updated last month
• BobMcDear / efficientnet-pytorch
  PyTorch implementation of EfficientNet
  ☆10Updated 2 years ago
• andreinechaev / nvcc4jupyter
  A plugin for Jupyter Notebook to run CUDA C/C++ code
  ☆217Updated 6 months ago
• andylolu2 / simpleGEMM
  The simplest but fast implementation of matrix multiplication in CUDA.
  ☆34Updated 8 months ago
• bertmaher / simplegemm
  ☆82Updated last week
• triton-lang / kernels
  ☆73Updated 4 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆208Updated 2 months ago
• pwlnk / cuda-neural-network
  Simple neural network implementation using CUDA technology. It is an educational implementation.
  ☆96Updated 6 years ago
• drkennetz / cuda_examples
  Some CUDA example code with READMEs.
  ☆93Updated 3 weeks ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆192Updated this week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆153Updated this week
• nvixnu / pmpp__programming_massively_parallel_processors
  Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…
  ☆66Updated 4 years ago
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆294Updated 2 years ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆127Updated last year
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆272Updated this week
• NVIDIA / Fuser
  A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")
  ☆314Updated this week
• BobMcDear / vit-pytorch
  PyTorch implementation of the vision transformer
  ☆18Updated last year