Alternatives and similar repositories for neural-network-cuda

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

• andreinechaev / nvcc4jupyter
  A plugin for Jupyter Notebook to run CUDA C/C++ code
  ☆246Updated last year
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆105Updated last year
• pwlnk / cuda-neural-network
  Simple neural network implementation using CUDA technology. It is an educational implementation.
  ☆97Updated 7 years ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆107Updated 8 months ago
• CisMine / Guide-NVIDIA-Tools
  NVIDIA tools guide
  ☆143Updated 9 months ago
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆228Updated last year
• puttsk / cuda-tutorial
  A set of hands-on tutorials for CUDA programming
  ☆240Updated last year
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆190Updated 2 years ago
• CisMine / Parallel-Computing-Cuda-C
  CUDA Learning guide
  ☆455Updated last year
• tgautam03 / xGeMM
  Accelerated General (FP32) Matrix Multiplication from scratch in CUDA
  ☆161Updated 9 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆143Updated last year
• SzymonOzog / GPU_Programming
  ☆79Updated 3 weeks ago
• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆160Updated last year
• andylolu2 / simpleGEMM
  The simplest but fast implementation of matrix multiplication in CUDA.
  ☆39Updated last year
• NVIDIA / Fuser
  A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")
  ☆357Updated this week
• drkennetz / cuda_examples
  Some CUDA example code with READMEs.
  ☆175Updated 7 months ago
• SzymonOzog / FastSoftmax
  Step by step implementation of a fast softmax kernel in CUDA
  ☆52Updated 9 months ago
• meta-pytorch / multipy
  torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…
  ☆180Updated last month
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆387Updated 3 years ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆87Updated 3 weeks ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆144Updated last year
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆108Updated last year
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆99Updated this week
• mikeroyal / CUDA-Guide
  CUDA Guide
  ☆73Updated last year
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆198Updated this week
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆895Updated last month
• NVIDIA / nsight-training
  Training material for Nsight developer tools
  ☆169Updated last year
• HenryNdubuaku / cuda-tutorials
  CUDA tutorials for Maths & ML tutorials with examples, covers multi-gpus, fused attention, winograd convolution, reinforcement learning.
  ☆196Updated 4 months ago
• R100001 / Programming-Massively-Parallel-Processors
  ☆192Updated last year
• CoffeeBeforeArch / cuda_programming
  Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
  ☆879Updated 2 years ago