Alternatives and similar repositories for aqt

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

• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆223Updated last year
• google / praxis
  ☆190Updated 3 weeks ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆381Updated 3 weeks ago
• google / paxml
  Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…
  ☆539Updated last month
• jax-ml / jax-triton
  jax-triton contains integrations between JAX and OpenAI Triton
  ☆428Updated last week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆578Updated 2 months ago
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆389Updated this week
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆299Updated 2 months ago
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆276Updated 3 years ago
• lucidrains / flash-attention-jax
  Implementation of Flash Attention in Jax
  ☆219Updated last year
• albanD / subclass_zoo
  ☆178Updated last year
• Deep-Learning-Profiling-Tools / triton-viz
  ☆240Updated this week
• facebookresearch / HolisticTraceAnalysis
  A library to analyze PyTorch traces.
  ☆416Updated last week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆215Updated this week
• cchan / tccl
  extensible collectives library in triton
  ☆89Updated 6 months ago
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆301Updated 2 weeks ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆157Updated 6 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆246Updated 2 weeks ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆145Updated 2 years ago
• graphcore-research / unit-scaling
  A library for unit scaling in PyTorch
  ☆130Updated 3 months ago
• hidet-org / hidet
  An open-source efficient deep learning framework/compiler, written in python.
  ☆731Updated 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…
  ☆270Updated 2 months ago
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆627Updated last week
• NVIDIA / JAX-Toolbox
  JAX-Toolbox
  ☆350Updated last week
• AI-Hypercomputer / jetstream-pytorch
  PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
  ☆76Updated last month
• MatX-inc / seqax
  seqax = sequence modeling + JAX
  ☆167Updated 3 months ago
• proger / accelerated-scan
  Accelerated First Order Parallel Associative Scan
  ☆189Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆263Updated last month
• google / saxml
  ☆145Updated last week
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆258Updated last week