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

• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆215Updated this week
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆195Updated 5 months ago
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆171Updated this week
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆147Updated last year
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆61Updated this week
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆104Updated last week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆155Updated last year
• PrimeIntellect-ai / pccl
  PCCL (Prime Collective Communications Library) implements fault tolerant collective communications over IP
  ☆138Updated 2 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆326Updated this week
• meta-pytorch / BackendBench
  How to ensure correctness and ship LLM generated kernels in PyTorch
  ☆117Updated this week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆242Updated 6 months ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆110Updated 9 months ago
• VatsaDev / NanoPoor
  NanoGPT-speedrunning for the poor T4 enjoyers
  ☆72Updated 6 months ago
• IST-DASLab / Quartet
  ☆106Updated last week
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆61Updated 2 months ago
• open-lm-engine / accelerated-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆64Updated this week
• apple / ml-recurrent-drafter
  ☆218Updated 9 months ago
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆102Updated last month
• amazon-science / mxfp4-llm
  Official implementation for Training LLMs with MXFP4
  ☆102Updated 6 months ago
• vdesai2014 / inference-optimization-blog-post
  ☆89Updated last year
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆302Updated last week
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆148Updated 2 years ago
• gpu-mode / profiling-cuda-in-torch
  ☆177Updated last year
• aryagxr / cuda
  coding CUDA everyday!
  ☆69Updated this week
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆299Updated 2 weeks ago
• Noumena-Network / NSA-Test
  NSA Triton Kernels written with GPT5 and Opus 4.1
  ☆65Updated 3 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆428Updated 8 months ago
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆395Updated 2 weeks ago
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆25Updated 4 months ago
• SzymonOzog / Penny
  Hand-Rolled GPU communications library
  ☆58Updated this week