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
  ☆217Updated 10 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆432Updated 8 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆196Updated 5 months ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆111Updated last week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆244Updated 6 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆267Updated 2 months ago
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆398Updated this week
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆212Updated 8 months ago
• aryagxr / cuda
  coding CUDA everyday!
  ☆71Updated last week
• gpu-mode / profiling-cuda-in-torch
  ☆178Updated last year
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 7 months ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆167Updated 7 months ago
• 1y33 / 100Days
  GPU Kernels
  ☆208Updated 6 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆155Updated last year
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆61Updated last week
• huggingface / picotron_tutorial
  ☆225Updated last month
• Deep-Learning-Profiling-Tools / triton-viz
  ☆250Updated this week
• huggingface / kernels
  Load compute kernels from the Hub
  ☆327Updated last week
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆305Updated 3 months ago
• stanford-cs336 / assignment2-systems
  Student version of Assignment 2 for Stanford CS336 - Language Modeling From Scratch
  ☆118Updated 3 months ago
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆303Updated 3 weeks ago
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆535Updated 6 months ago
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆216Updated this week
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆125Updated last year
• hkproj / quantization-notes
  Notes on quantization in neural networks
  ☆105Updated last year
• lessw2020 / triton_kernels_for_fun_and_profit
  Custom kernels in Triton language for accelerating LLMs
  ☆27Updated last year
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA (+ more DSLs)
  ☆663Updated last week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆582Updated 3 months ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆272Updated 2 weeks ago
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆134Updated last week