google / aqtLinks
☆331Updated 3 weeks ago
Alternatives and similar repositories for aqt
Users that are interested in aqt are comparing it to the libraries listed below
Sorting:
- This repository contains the experimental PyTorch native float8 training UX☆224Updated last year
- jax-triton contains integrations between JAX and OpenAI Triton☆424Updated 3 weeks ago
- ☆188Updated last week
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆536Updated last month
- Fast low-bit matmul kernels in Triton☆373Updated last week
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆318Updated this week
- seqax = sequence modeling + JAX☆167Updated 2 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆576Updated last month
- A library for unit scaling in PyTorch☆130Updated 2 months ago
- Implementation of Flash Attention in Jax☆218Updated last year
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆213Updated this week
- Applied AI experiments and examples for PyTorch☆296Updated last month
- Triton-based implementation of Sparse Mixture of Experts.☆241Updated last month
- Implementation of a Transformer, but completely in Triton☆275Updated 3 years ago
- A stand-alone implementation of several NumPy dtype extensions used in machine learning.☆302Updated this week
- ☆240Updated this week
- extensible collectives library in triton☆88Updated 6 months ago
- ☆177Updated last year
- ☆233Updated 7 months ago
- Accelerated First Order Parallel Associative Scan☆188Updated last year
- JAX-Toolbox☆343Updated this week
- A library to analyze PyTorch traces.☆414Updated last week
- A Quirky Assortment of CuTe Kernels☆582Updated last week
- JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training☆53Updated last month
- Cataloging released Triton kernels.☆261Updated 3 weeks ago
- Experiment of using Tangent to autodiff triton☆81Updated last year
- PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"☆73Updated 2 weeks ago
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆268Updated 2 months ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆142Updated last year
- FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores☆330Updated 9 months ago