List of academic resources on Multimodal ML for Music
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Updated
Dec 31, 2022 - TeX
List of academic resources on Multimodal ML for Music
muon is a multimodal omics Python framework
Interface for easier topic modelling.
Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.
Code on selecting an action based on multimodal inputs. Here in this case inputs are voice and text.
Data curation tool that brings data-centric AI to your stack
[IEEE TGRS 2022] Official Pytorch implementation for Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning
A fully differentiable set autoencoder
Collects a multimodal dataset of Wikipedia articles and their images
Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.
I am working on the discovery of new potential therapeutic tagets using Machine learning on multi-omics data.
Study of Transformer based models for Multimodal Remote Sensing Image Classification
Predicting the multi-trajectory evolution of multimodal brain connectivity.
Project for the courses of Natural Interaction and Affective Computing, University of Milan, M.Sc. in Computer Science, A.Y. 2022/2023. Predicting pain given a multi-modal dataset.
The High-Level Dataset
A light-weight Python library to utilize multimodal features for deep learning
FAVSeq is a machine learning-based pipeline for identifying factors affecting the difference between bulk and scRNA-Seq experiments.
Multitask Learning with Multiple Languages and Modalities
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