PyTorch tutorials.

Repository for most of the code from my YouTube channel

This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase ident…

A PyTorch Implementation of Focal Loss.

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

a pytorch code about Residual Attention Network. This code is based on two projects from

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Semantic Segmentation Architectures Implemented in PyTorch

Dataset, necessary Scripts and trained SSD Model for detecting Hands in Realtime.

A PyTorch Implementation of "Recurrent Models of Visual Attention"

A tensorflow implementation of EAST text detector

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

TextBoxes++: A Single-Shot Oriented Scene Text Detector

Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch (https://arxiv.org/abs/1708.02551)

Pytorch implementation of OCR system using CRNN + CTCLoss

Datasets, Transforms and Models specific to Computer Vision

Classification with PyTorch.

Pytorch implementation of convolutional neural network visualization techniques

Pytorch implement Show, Attend and Tell: Neural Image Caption Generation with Visual Attention