LITIS

Products and tools from the Machine Learning group

Software, platforms and libraries in Python or Matlab from the research work of the LITIS Machine Learning group since 2015:

PIVAJ : Platform for indexing and valorization of newspaper archives

DocExplore : Software suite to create interactive digital books

PatternSpot : Pattern spotting plateform

LSAPE : Algorithms for solving bipartite matching problems

GED : Algorithmes for computing the graph edit distance (Version C++, Version Matlab, Version Python)

Crino : An input/output deep architecture for image labeling

SOAE : Deep neural networks regularization for structured output prediction

CLIR : Neural networks regularization through class-wise invariant representation learning

CTCModel : A transparent CTC implementation for Keras

PyGraph : Open-source library of graph kernels

Preimage : Open-source library for the resolution of the graph preimage problems

POT : Python Optimal Transport Library

OmniScape : Omnidirectional image generation

CAp 2018 : Data set and competition at CAp 2018 : My Tailor is rich ! Predicting English level by analyzing writing styles

HBA : Second edition of the Competition on Historical Book Analysis