Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.
-
Updated
Sep 2, 2021 - Python
Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.
Project created for Representation Learning course on the University of Technology in Wrocław.
Tutorials and scripts for doing computational analysis with visual and multimodal data
SOTA Classification at scale for UAVs, Drones, and much more
[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.
Google BigQuery AI Hackathon Submission: Analyzing Meta Ads to Gain Comprehensive Competitive Intelligence
FAVSeq is a machine learning-based pipeline for identifying factors affecting the difference between bulk and scRNA-Seq experiments.
Python scripts and assets related to Multimodal-Wireless dataset. The dataset can be found at
🔍 Explore multimodal omics data easily with `muon`, a powerful Python framework designed for efficient analysis and visualization of diverse biological datasets.
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.
Multimodal Agentic GenAI Workflow – Seamlessly blends retrieval and generation for intelligent storytelling
Streamlit App Combining Vision, Language, and Audio AI Models
A multimodal architecture to build multimodal knowledge graphs with flexible multimodal feature extraction and dynamic multimodal concept generation
Predicting the multi-trajectory evolution of multimodal brain connectivity.
A Streamlit App For Speech To Image
Study of Self Attention and Cross Attention-based Transformer models for Multimodal Remote Sensing Image Classification
Automated Competitive Analysis tool for Intel and AMD processors - scrapes web and YouTube reviews, uses ML to detect benchmark charts, and leverages LLMs to generate comparative analysis reports.
Performing clustering on stroke patients using NIHSS data.
Official Implementation of "Multimodal Analysis of PNC Data via Sparse GCA"
Add a description, image, and links to the multimodal-data topic page so that developers can more easily learn about it.
To associate your repository with the multimodal-data topic, visit your repo's landing page and select "manage topics."