muon is a multimodal omics Python framework

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

Interface for easier topic modelling.

Code on selecting an action based on multimodal inputs. Here in this case inputs are voice and text.

Unified storage framework for the entire machine learning lifecycle

Frontiers in Intelligent Colonoscopy [ColonSurvey | ColonINST | ColonGPT]

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

A fully differentiable set autoencoder

Collects a multimodal dataset of Wikipedia articles and their images

Multimodal and Multilingual Georeferencing and News Retrieval

ThalamusDB: semantic query processing on multimodal data

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

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

Multimodal and Multilingual Georeferencing and News Retrieval

Prompt Engineering and Dev-Ops toolkit for applications powered by Language Models

Tumor2Graph: a novel Overall-Tumor-Profile-derived virtual graph deep learning for predicting tumor typing and subtyping.

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

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

FAVSeq is a machine learning-based pipeline for identifying factors affecting the difference between bulk and scRNA-Seq experiments.