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