Alternatives and similar repositories for learn-ptx

Users that are interested in learn-ptx are comparing it to the libraries listed below

• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆67Updated 2 months ago
• apoorvnandan / lilgrad
  pytorch from scratch in pure C/CUDA and python
  ☆40Updated 7 months ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆94Updated 4 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆184Updated last week
• gevtushenko / llm.c
  LLM training in simple, raw C/CUDA
  ☆99Updated last year
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆181Updated 3 weeks ago
• gpu-mode / profiling-cuda-in-torch
  ☆157Updated last year
• salykova / sgemm.c
  Multi-Threaded FP32 Matrix Multiplication on x86 CPUs
  ☆351Updated last month
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆133Updated last year
• joey00072 / Tinytorch
  A really tiny autograd engine
  ☆94Updated last week
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆44Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆215Updated this week
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆406Updated 3 months ago
• VatsaDev / NanoPoor
  NanoGPT-speedrunning for the poor T4 enjoyers
  ☆66Updated last month
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆357Updated 2 months ago
• ulrichstern / cuda-convnet
  Alex Krizhevsky's original code from Google Code
  ☆192Updated 9 years ago
• SzymonOzog / GPU_Programming
  ☆54Updated this week
• LaurieWired / BenchmarkCustomPTX
  Custom PTX Instruction Benchmark
  ☆126Updated 3 months ago
• tgautam03 / xGeMM
  Accelerated General (FP32) Matrix Multiplication from scratch in CUDA
  ☆116Updated 4 months ago
• gpu-mode / reference-kernels
  Reference Kernels for the Leaderboard
  ☆49Updated last week
• MagellaX / StreamAttn
  ☆20Updated 3 months ago
• vdesai2014 / inference-optimization-blog-post
  ☆88Updated last year
• SzymonOzog / FastSoftmax
  ☆35Updated 4 months ago
• kuterd / nv_isa_solver
  Nvidia Instruction Set Specification Generator
  ☆271Updated 10 months ago
• ash-01xor / bpe.c
  Simple Byte pair Encoding mechanism used for tokenization process . written purely in C
  ☆132Updated 6 months ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆183Updated last year
• bertmaher / simplegemm
  ☆105Updated 2 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆311Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆226Updated 4 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆546Updated this week