a reimplementation of PWC-Net in PyTorch that matches the official Caffe version

TFRecord reader for PyTorch

TDF-ICDAR 2019 Dataset for Typeset Math Formula Detection

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

Datasets, Transforms and Models specific to Computer Vision

💯 Materials to help you rock your next coding interview

Code for my ICDAR paper "Deep Visual Template-Free Form Parsing"

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

Offline Handwritten Math Expression Recognizer

Parse LaTeX math expressions

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Turi Create simplifies the development of custom machine learning models.

A collection of various deep learning architectures, models, and tips

This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.

Graph Convolutional Networks in PyTorch

Apache PDFBox extension for precisely extracting character/symbol locations and identities from born-digital PDF files.

keras implementation of Faster R-CNN

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)

anomaly detection by one-class SVM

TensorFlow Neural Machine Translation Tutorial

A natural language modeling framework based on PyTorch

Python package built to ease deep learning on graph, on top of existing DL frameworks.

A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning