Alternatives and similar repositories for gpt-triton

Users that are interested in gpt-triton 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
  ☆195Updated 5 months ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆104Updated last week
• gpu-mode / profiling-cuda-in-torch
  ☆177Updated last year
• hkproj / triton-flash-attention
  ☆216Updated 10 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆150Updated 2 years ago
• huggingface / picotron_tutorial
  ☆225Updated 3 weeks ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆155Updated last year
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆242Updated 6 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆265Updated 2 months ago
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆302Updated 2 weeks ago
• VikParuchuri / triton_tutorial
  Tutorials for Triton, a language for writing gpu kernels
  ☆56Updated 2 years ago
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆395Updated 3 weeks ago
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆346Updated 6 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆326Updated last week
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆271Updated last week
• tspeterkim / mixed-precision-from-scratch
  Mixed precision training from scratch with Tensors and CUDA
  ☆28Updated last year
• 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
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆61Updated 2 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆582Updated 3 months ago
• linjames0 / Transformer-CUDA
  An implementation of the transformer architecture onto an Nvidia CUDA kernel
  ☆195Updated 2 years ago
• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆160Updated last year
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆192Updated 11 months ago
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆680Updated last week
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 7 months ago
• open-lm-engine / accelerated-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆64Updated last week
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆215Updated this week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆216Updated this week
• lessw2020 / triton_kernels_for_fun_and_profit
  Custom kernels in Triton language for accelerating LLMs
  ☆27Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆164Updated 7 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆210Updated 8 months ago