Alternatives and similar repositories for cuda-tutorials

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

• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆150Updated last year
• hkproj / 100-days-of-gpu
  ☆343Updated 2 months ago
• CisMine / Parallel-Computing-Cuda-C
  CUDA Learning guide
  ☆395Updated last year
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆364Updated 3 months ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆185Updated last year
• CisMine / Guide-NVIDIA-Tools
  NVIDIA tools guide
  ☆135Updated 5 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆159Updated last year
• ulrichstern / cuda-convnet
  Alex Krizhevsky's original code from Google Code
  ☆192Updated 9 years ago
• rkinas / cuda-learning
  This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…
  ☆354Updated 4 months ago
• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆326Updated last year
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆445Updated last month
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆132Updated last year
• drkennetz / cuda_examples
  Some CUDA example code with READMEs.
  ☆165Updated 3 months ago
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆816Updated 5 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆189Updated last month
• 1y33 / 100Days
  GPU Kernels
  ☆182Updated last month
• leimao / CUDA-GEMM-Optimization
  CUDA Matrix Multiplication Optimization
  ☆196Updated 11 months ago
• bertmaher / simplegemm
  ☆109Updated 3 months ago
• andrewkchan / yalm
  Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
  ☆377Updated 2 weeks ago
• CisMine / GPU-in-ML-DL
  Apply GPU in ML and DL
  ☆52Updated 4 months ago
• 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…
  ☆67Updated 4 years ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆185Updated 3 weeks ago
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆248Updated 2 weeks ago
• clu0 / unet.cu
  UNet diffusion model in pure CUDA
  ☆608Updated 11 months ago
• salykova / sgemm.c
  Multi-Threaded FP32 Matrix Multiplication on x86 CPUs
  ☆352Updated 2 months ago
• ash-01xor / bpe.c
  Simple Byte pair Encoding mechanism used for tokenization process . written purely in C
  ☆134Updated 7 months ago
• hkproj / triton-flash-attention
  ☆174Updated 5 months ago
• R100001 / Programming-Massively-Parallel-Processors
  ☆166Updated 10 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆556Updated last week
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆99Updated last year