🔍 Explore multimodal omics data easily with `muon`, a powerful Python framework designed for efficient analysis and visualization of diverse biological datasets.

🖼️ Generate high-quality images from text prompts using the Google Gemini API with a simple Python script. Save your creations as PNG files easily.

Python scripts and assets related to Multimodal-Wireless dataset. The dataset can be found at

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.

muon is a multimodal omics Python framework

Frontiers in Intelligent Colonoscopy [ColonSurvey | ColonINST | ColonGPT]

ThalamusDB: semantic query processing on multimodal data

Multimodal Agentic GenAI Workflow – Seamlessly blends retrieval and generation for intelligent storytelling

Streamlit App Combining Vision, Language, and Audio AI Models

A Streamlit App For Speech To Image

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

A Streamlit-based AI assistant generates custom Streamlit app code from user-provided images or text using the Google Gemini model.

Interface for easier topic modelling.

[CVPR 2021] Multi-Modal-CelebA-HQ: A Large-Scale Text-Driven Face Generation and Understanding Dataset

A fully differentiable set autoencoder

SOTA Classification at scale for UAVs, Drones, and much more

Unified storage framework for the entire machine learning lifecycle

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.

[IEEE TGRS 2022] Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning