Multimodal and Multilingual Georeferencing and News Retrieval
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Updated
May 1, 2023 - Python
Multimodal and Multilingual Georeferencing and News Retrieval
Multitask Learning with Multiple Languages and Modalities
Project created for Representation Learning course on the University of Technology in Wrocław.
FAVSeq is a machine learning-based pipeline for identifying factors affecting the difference between bulk and scRNA-Seq experiments.
Official Implementation of "Multimodal Analysis of PNC Data via Sparse GCA"
Multimodal and Multilingual Georeferencing and News Retrieval
Reducing neonatal and under-5 mortality rates via an AI-driven awareness platform with a Gradio app, Gemini API integration, and essential project utilities. #AIForGood
Official repo for paper: RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection
VidiQA: Demo for MiniCPM-V 2.6 to answer questions about videos using natural language.
A Streamlit-based AI assistant generates custom Streamlit app code from user-provided images or text using the Google Gemini model.
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.
[INLG2023] The High-Level (HL) dataset is a Vision and Language (V&L) resource aligning object-centric descriptions from COCO with high-level descriptions crowdsourced along 3 axes: scene, action, rationale.
PicQ: Demo for MiniCPM-V 2.6 to answer questions about images using natural language.
Predicting the multi-trajectory evolution of multimodal brain connectivity.
SOTA Classification at scale for UAVs, Drones, and much more
A multimodal architecture to build multimodal knowledge graphs with flexible multimodal feature extraction and dynamic multimodal concept generation
Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.
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