Alternatives and similar repositories for triton_docs_tutorials:

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

• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆178Updated this week
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆40Updated this week
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆65Updated last month
• gpu-mode / profiling-cuda-in-torch
  ☆153Updated last year
• VatsaDev / NanoPoor
  NanoGPT-speedrunning for the poor T4 enjoyers
  ☆62Updated this week
• hkproj / triton-flash-attention
  ☆155Updated 3 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆165Updated last month
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆217Updated 3 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆131Updated last month
• kmohan321 / Research_Papers
  ☆45Updated 3 weeks ago
• joey00072 / ohara
  Collection of autoregressive model implementation
  ☆85Updated 2 months ago
• fangyuan-ksgk / Tiny-GRPO
  minimal GRPO implementation from scratch
  ☆85Updated last month
• samchaineau / llm_slerp_generation
  Repo hosting codes and materials related to speeding LLMs' inference using token merging.
  ☆36Updated 11 months ago
• vdesai2014 / inference-optimization-blog-post
  ☆87Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆119Updated 2 weeks ago
• okarthikb / state-space-models
  ☆27Updated 9 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆337Updated last month
• tanaymeh / mamba-train
  A single repo with all scripts and utils to train / fine-tune the Mamba model with or without FIM
  ☆54Updated last year
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆20Updated 2 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆130Updated 6 months ago
• tspeterkim / mixed-precision-from-scratch
  Mixed precision training from scratch with Tensors and CUDA
  ☆22Updated 11 months ago
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆109Updated last week
• foundation-model-stack / bamba
  Train, tune, and infer Bamba model
  ☆88Updated this week
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆179Updated last year
• stas00 / ml-ways
  ML/DL Math and Method notes
  ☆60Updated last year
• alperiox / Compact-Language-Models-via-Pruning-and-Knowledge-Distillation
  Unofficial implementation of https://arxiv.org/pdf/2407.14679
  ☆44Updated 7 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆291Updated this week
• melisa-writer / short-transformers
  Prune transformer layers
  ☆68Updated 10 months ago
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆128Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆130Updated last year