Wrapper for Keras with support to easy multimodal data and models loading and handling.

You can access the library documentation page at marcbs.github.io/multimodal_keras_wrapper/

Some code examples are available in demo.ipynb and test.py. Additionally, in the section Projects you can see some practical examples of projects using this library.

The following dependencies are required for using this library:

• Keras - custom fork or original version
• Coco-caption evaluation package (Only required to perform evaluation). This package requires java (version 1.8.0 or newer).
• Those specified in the requirements.txt file.

Only when using NMS for certain localization utilities:

• cython >= 0.23.4

In order to install the library you just have to follow these steps:

1. Clone this repository.

2. Include the repository path into your PYTHONPATH:

export PYTHONPATH=$PYTHONPATH:/path/to/multimodal_keras_wrapper

3. Install the dependencies (it will install our custom Keras fork):

pip install -r requirements.txt

You can see more practical examples in projects which use this library:

TMA for Egocentric Video Captioning based on Temporally-linked Sequences.

NMT-Keras: Neural Machine Translation.

VIBIKNet for Visual Question Answering

ABiViRNet for Video Description

Sentence-SelectioNN for Domain Adaptation in SMT

For additional information on the Deep Learning library, visit the official web page www.keras.io or the GitHub repository https://github.com/keras-team/keras.

You can also use our custom Keras version, which provides several additional layers for Multimodal Learning.