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cookiecutter

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

crohme_2014

data_generator_object_detection_2d

A data generator for 2D object detection

deeplearning-models

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

dgl

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

fast-rcnn

Fast R-CNN

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

graph-rcnn.pytorch

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

graph2seq

Graph2Seq is a simple code for building a graph-encoder and sequence-decoder for NLP and other AI/ML/DL tasks.

gtdb-dataset

GTDB dataset for training & evaluation for mathematical OCR systems

hmm_math_symbol_classifier

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

im2markup

Neural model for converting Image-to-Markup (by Yuntian Deng github.com/da03)

imbalanced-learn

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

interview-cake

keras-fasterrcnn

keras implementation of Faster R-CNN

keras-frcnn

keras-spp

Spatial pyramid pooling layers for keras

latex2sympy

Parse LaTeX math expressions

learntopayattention

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

mathconverter

Converts from AsciiMath, LaTeX, MathML to LaTeX, MathML

mathematics_dataset

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

mathsymbolrecognizer

mtan

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

multi-task-learning-example

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

multi-task-learning-example-pytorch

neural-motifs

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

nmt

TensorFlow Neural Machine Translation Tutorial

ocsvm-anomaly-detection

anomaly detection by one-class SVM

pretrained-models.pytorch

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