Multimodal and Multilingual Georeferencing and News Retrieval
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Updated
May 1, 2023 - Python
Multimodal and Multilingual Georeferencing and News Retrieval
🔍 Explore multimodal omics data easily with `muon`, a powerful Python framework designed for efficient analysis and visualization of diverse biological datasets.
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.
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.
Python scripts and assets related to Multimodal-Wireless dataset. The dataset can be found at
🖼️ Generate high-quality images from text prompts using the Google Gemini API with a simple Python script. Save your creations as PNG files easily.
SOTA Classification at scale for UAVs, Drones, and much more
Streamlit App Combining Vision, Language, and Audio AI Models
Multimodal Agentic GenAI Workflow – Seamlessly blends retrieval and generation for intelligent storytelling
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
A multimodal architecture to build multimodal knowledge graphs with flexible multimodal feature extraction and dynamic multimodal concept generation
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