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
  ☆226Updated last year
• jax-ml / jax-triton
  jax-triton contains integrations between JAX and OpenAI Triton
  ☆436Updated last week
• google / praxis
  ☆190Updated 2 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…
  ☆540Updated 2 weeks ago
• albanD / subclass_zoo
  ☆184Updated last year
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆640Updated this week
• MatX-inc / seqax
  seqax = sequence modeling + JAX
  ☆168Updated 4 months ago
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆401Updated last week
• graphcore-research / unit-scaling
  A library for unit scaling in PyTorch
  ☆132Updated 4 months ago
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆312Updated last week
• facebookresearch / HolisticTraceAnalysis
  A library to analyze PyTorch traces.
  ☆437Updated last week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆584Updated 3 months ago
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆277Updated 3 years ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆256Updated this week
• cchan / tccl
  extensible collectives library in triton
  ☆91Updated 8 months ago
• NVIDIA / JAX-Toolbox
  JAX-Toolbox
  ☆364Updated this week
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆253Updated 2 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆307Updated 3 months ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆217Updated last week
• lucidrains / flash-attention-jax
  Implementation of Flash Attention in Jax
  ☆222Updated last year
• hidet-org / hidet
  An open-source efficient deep learning framework/compiler, written in python.
  ☆736Updated 2 months ago
• google-research / jaxpruner
  ☆234Updated 9 months ago
• google / saxml
  ☆147Updated 3 weeks ago
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆675Updated 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
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆58Updated 2 weeks ago
• andylolu2 / simpleGEMM
  The simplest but fast implementation of matrix multiplication in CUDA.
  ☆39Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆169Updated 7 months ago
• proger / accelerated-scan
  Accelerated First Order Parallel Associative Scan
  ☆192Updated last year
• HazyResearch / flash-fft-conv
  FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
  ☆334Updated 11 months ago