Tensors and Dynamic neural networks in Python with strong GPU acceleration

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

Underthesea - Vietnamese NLP Toolkit

Single Image Crowd Counting via MCNN (Unofficial Implementation)

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

A tool for performing consistent backups of MongoDB Clusters or Replica Sets

Easy to use NLP library built on PyTorch and TorchText

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-c…

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry