Multimodal and Multilingual Georeferencing and News Retrieval
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Updated
May 1, 2023 - Python
Multimodal and Multilingual Georeferencing and News Retrieval
A Streamlit App For Speech To Image
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.
🔍 Explore multimodal omics data easily with `muon`, a powerful Python framework designed for efficient analysis and visualization of diverse biological datasets.
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
FAVSeq is a machine learning-based pipeline for identifying factors affecting the difference between bulk and scRNA-Seq experiments.
[EMNLP 2025 Findings] Official repo for paper: From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation
🖼️ Generate high-quality images from text prompts using the Google Gemini API with a simple Python script. Save your creations as PNG files easily.
Multimodal Agentic GenAI Workflow – Seamlessly blends retrieval and generation for intelligent storytelling
Streamlit App Combining Vision, Language, and Audio AI Models
SOTA Classification at scale for UAVs, Drones, and much more
Predicting the multi-trajectory evolution of multimodal brain connectivity.
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.
Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.
Prompt Engineering and Dev-Ops toolkit for applications powered by Language Models
Python scripts and assets related to Multimodal-Wireless dataset. The dataset can be found at
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