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page_dewarp

Text page dewarping using a "cubic sheet" model

papers

Summaries of papers on deep learning

pdf2pngconverter

A simple project that can convert PDF documents into PNG images

perfomr

Master Thesis by Matthias Wallner at TU Wien

preomr

Tools for doing pre omr cleanup of sheetmusic images.

preomr-1

printedmusicsymbolsdataset

A collection of printed music symbols

processingomrs

px2graph

Training code for "Pixels to Graphs by Associative Embedding"

pytest-timeout

python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

realm-draw

The official Realm Draw app used in promotional videos

rebook

A collection of tools for cleaning up book scans.

residual-of-residual-networks

Residual Network of Residual Networks in Keras

sample-apps-ios-simple-objc

This is a simple iOS app project for testing and experimenting with Bitrise

sbb_binarization

Binarize document images

sbb_pixelwise_segmentation

Pixelwise segmentation for document images

scikit-learn

scikit-learn: machine learning in Python

score_following_game

Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game

seilsdataset

sensor-fusion-demo

This repository contains several different sensor-fusion implementation that can be compared with each other.

seq2seq

Sequence to Sequence Learning with Keras

sheet-music-normalization

Correction of rotation and scaling of sheet music images

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

smude

Sheet music dewarping, primarily for pictures taken with smartphones.

staff-lines-removal

Staff-lines removal with Selectional Auto-Encoders

tensorflowandroiddemo

TensorFlow 1.1.0 Standalone Android Demo

tensorflowobjectdetection

tf-deep-omr

TensorFlow code to perform end-to-end Optical Music Recognition on monophonic scores through Convolutional Recurrent Neural Networks and CTC-based training.