List of academic resources on Multimodal ML for Music
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Updated
Mar 25, 2023 - TeX
List of academic resources on Multimodal ML for Music
Radient turns many data types (not just text) into vectors for similarity search, clustering, regression analysis, and more.
muon is a multimodal omics Python framework
[CVPR 2021] Multi-Modal-CelebA: A Large-Scale Text-Driven Face Generation and Understanding Dataset
Data Analysis program and framework for materials science data analytics, based on the managing framework SIMPL framework.
Interface for easier topic modelling.
Unified storage framework for the entire machine learning lifecycle
Code on selecting an action based on multimodal inputs. Here in this case inputs are voice and text.
An EXA-Scale repository of Multi-Modality AI resources from papers and models, to foundational libraries!
[IEEE TGRS 2022] Official Pytorch implementation for Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning
A curated list of awesome Multimodal studies.
Study of Transformer based models for Multimodal Remote Sensing Image Classification
A fully differentiable set autoencoder
Collects a multimodal dataset of Wikipedia articles and their images
Manage unstructured and multimodal datasets!
Prompt Engineering and Dev-Ops toolkit for applications powered by Language Models
Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.
Corpus of resources for multimodal machine learning with physiological signals
The backend algorithms and framework associated with DREAM3DNX, a data analysis program for materials science data analytics
A multimodal architecture to build multimodal knowledge graphs with flexible multimodal feature extraction and dynamic multimodal concept generation
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