Alternatives and similar repositories for TritonAcademy

Users that are interested in TritonAcademy are comparing it to the libraries listed below

• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆378Updated 4 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆195Updated 2 months ago
• huggingface / picotron_tutorial
  ☆198Updated 4 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆160Updated last year
• hkproj / triton-flash-attention
  ☆179Updated 6 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆160Updated 4 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆134Updated last year
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 3 months ago
• 1y33 / 100Days
  GPU Kernels
  ☆188Updated 2 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆203Updated this week
• hkproj / multi-latent-attention
  ☆40Updated last month
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆45Updated 3 months ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆29Updated this week
• pytorch-labs / monarch
  PyTorch Single Controller
  ☆296Updated this week
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆187Updated last year
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆133Updated last year
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆444Updated 4 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆225Updated this week
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆259Updated 2 weeks ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆242Updated 6 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆144Updated 8 months ago
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆411Updated last week
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆424Updated this week
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆255Updated this week
• pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆359Updated last week
• vdesai2014 / inference-optimization-blog-post
  ☆88Updated last year
• VatsaDev / NanoPoor
  NanoGPT-speedrunning for the poor T4 enjoyers
  ☆68Updated 2 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆327Updated this week
• kmohan321 / Research_Papers
  ☆46Updated 3 months ago
• huggingface / gpu-fryer
  Where GPUs get cooked 👩‍🍳🔥
  ☆236Updated 4 months ago