Alternatives and similar repositories for gpt-triton:

Users that are interested in gpt-triton are comparing it to the libraries listed below

• hkproj / triton-flash-attention
  ☆136Updated 2 months ago
• cloneofsimo / min-fsdp
  ☆76Updated 8 months ago
• melisa-writer / short-transformers
  Prune transformer layers
  ☆68Updated 9 months ago
• johnma2006 / candle
  Deep learning library implemented from scratch in numpy. Mixtral, Mamba, LLaMA, GPT, ResNet, and other experiments.
  ☆51Updated 11 months ago
• huggingface / picotron_tutorial
  ☆158Updated last month
• ethansmith2000 / fsdp_optimizers
  supporting pytorch FSDP for optimizers
  ☆79Updated 3 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆151Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆204Updated 2 months ago
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆68Updated 9 months ago
• Jaykef / Triton-nanoGPT
  Custom triton kernels for training Karpathy's nanoGPT.
  ☆18Updated 5 months ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆19Updated last month
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆127Updated last year
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆58Updated last month
• gpu-mode / ring-attention
  ring-attention experiments
  ☆127Updated 5 months ago
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆91Updated 3 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆100Updated 4 months ago
• lessw2020 / triton_kernels_for_fun_and_profit
  Custom kernels in Triton language for accelerating LLMs
  ☆18Updated 11 months ago
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆122Updated 11 months ago
• joey00072 / ohara
  Collection of autoregressive model implementation
  ☆83Updated last month
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"
  ☆59Updated 5 months ago
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆222Updated 7 months ago
• ThinamXx / Meta-llama
  Complete implementation of Llama2 with/without KV cache & inference 🚀
  ☆47Updated 10 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆191Updated this week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆114Updated last month
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆232Updated 2 weeks ago