Tensors and Dynamic neural networks in Python with strong GPU acceleration

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Pytorch implementation of convolutional neural network visualization techniques

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

A PyTorch implementation of the Deep SVDD anomaly detection method

PyTorch Boilerplate For Research

Two simple and effective designs of vision transformer, which is on par with the Swin transformer

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

Repository for the Explainable Deep One-Class Classification paper

Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation

Official Code for *Mixed Transformer UNet for Medical Image Segmentation*

iclr2024 poster Varying Window Attention

Vision Transformers with Hierarchical Attention

The semantic segmentation of remote sensing images

Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)