Low-rank-Multimodal-Fusion

This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018

TensorFusionNetworks

Pytorch Implementation of Tensor Fusion Networks for multimodal sentiment analysis.

CMU-MultimodalSDK-Tutorials

This is a short tutorial for using the CMU-MultimodalSDK.

MultiWE

Learning multimodal word embeddings from youtube video data

mlboot-py

The goal of mlboot is to provide a powerful, flexible, and user-friendly way to estimate and compare the performance of machine learning (and other predictive) models using bootstrap resampling. It enables easy statistical analysis of model performance.