Fast and memory-efficient exact attention

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Ongoing research training transformer models at scale

CUDA Templates for Linear Algebra Subroutines

PyTorch bindings for CUTLASS grouped GEMM.

Making large AI models cheaper, faster and more accessible

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

A platform for building proxies to bypass network restrictions.

Paddle Automatically Diff Precision Toolkits.

👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Ques…

high performance data structure for python

A tools to automatically analysis and compare the layer-wise perf.

Open deep learning compiler stack for cpu, gpu and specialized accelerators

[MICCAI2022] PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images