Alternatives and similar repositories for ptx-tutorial-by-aislop

Users that are interested in ptx-tutorial-by-aislop are comparing it to the libraries listed below

• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆151Updated last year
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆235Updated 2 weeks ago
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆214Updated last week
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆197Updated 8 months ago
• gpu-mode / kernelbot
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆68Updated this week
• vdesai2014 / inference-optimization-blog-post
  ☆92Updated last year
• Infatoshi / docs.md
  ☆90Updated last month
• AndreSlavescu / mHC.cu
  mHC kernels implemented in CUDA
  ☆243Updated 3 weeks ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆165Updated last year
• Noumena-Network / nmoe
  MoE training for Me and You and maybe other people
  ☆335Updated last month
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆334Updated 3 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆155Updated 2 years ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆193Updated this week
• VatsaDev / NanoPoor
  NanoGPT-speedrunning for the poor T4 enjoyers
  ☆73Updated 9 months ago
• PrimeIntellect-ai / pccl
  PCCL (Prime Collective Communications Library) implements fault tolerant collective communications over IP
  ☆141Updated 4 months ago
• meta-pytorch / BackendBench
  Ship correct and fast LLM kernels to PyTorch
  ☆139Updated 3 weeks ago
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆307Updated last month
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆249Updated 8 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆178Updated 2 years ago
• amazon-science / mxfp4-llm
  Official implementation for Training LLMs with MXFP4
  ☆118Updated 9 months ago
• salykova / sgemm.cu
  High-Performance FP32 GEMM on CUDA devices
  ☆117Updated last year
• apple / ml-recurrent-drafter
  ☆219Updated last year
• huggingface / kernels
  Load compute kernels from the Hub
  ☆389Updated this week
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆424Updated last week
• RiddleHe / llm-interp
  A collection of lightweight interpretability scripts to understand how LLMs think
  ☆89Updated last week
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆200Updated this week
• IST-DASLab / Quartet
  ☆118Updated 3 weeks ago
• SzymonOzog / Penny
  Hand-Rolled GPU communications library
  ☆81Updated 2 months ago
• UmerHA / triton_util
  Make triton easier
  ☆50Updated last year
• JoeLi12345 / nGPT
  an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)
  ☆110Updated 10 months ago