Alternatives and similar repositories for triton_docs_tutorials

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

• hkproj / triton-flash-attention
  ☆199Updated 8 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆408Updated 6 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆221Updated 4 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆193Updated 3 months ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆78Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆257Updated last week
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆187Updated 6 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆371Updated last week
• gpu-mode / profiling-cuda-in-torch
  ☆171Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆154Updated 5 months ago
• aryagxr / cuda
  coding CUDA everyday!
  ☆61Updated 5 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆152Updated 11 months ago
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 5 months ago
• 1y33 / 100Days
  GPU Kernels
  ☆193Updated 4 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆237Updated this week
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆57Updated this week
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆499Updated 4 months ago
• lessw2020 / triton_kernels_for_fun_and_profit
  Custom kernels in Triton language for accelerating LLMs
  ☆25Updated last year
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆120Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆294Updated 3 weeks ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆189Updated last year
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆566Updated 3 weeks ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆576Updated last month
• huggingface / picotron_tutorial
  ☆217Updated 7 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆283Updated this week
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆346Updated this week
• hkproj / quantization-notes
  Notes on quantization in neural networks
  ☆99Updated last year
• unixpickle / learn-ptx
  Learning about CUDA by writing PTX code.
  ☆135Updated last year
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆391Updated 2 months ago
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆274Updated last month