Pytorch implementation of 'Pratical Sampling-based Bayesian Inference for multimodal distribution'

Collaborative generation of unique audiovisual experiences using NFC identity cards

Todo o conteúdo produzido para a unidade curricular PF (Projeto FEUP), para o curso em Engenharia Informática e Computação na FEUP

Multitasking multimodal AI material that focus on human interaction and assistance

Public repo for the paper: "COSMic: A Coherence-Aware Generation Metric for Image Descriptions" by Mert İnan, Piyush Sharma, Baber Khalid, Radu Soricut, Matthew Stone, Malihe Alikhani

Code for IEEE MultiMedia Paper "Modeling Incongruity between Modalities for Multimodal Sarcasm Detection."

A multi modal pipeline to generate three tones of reviews [harsh, constructive, kind] for a given artwork using fine-tuned Flan-T5 models.

This library provides packages on DoubleML / Causal Machine Learning and Neural Networks in Python for Simulation and Case Studies.

Utilizing a multimodal architecture to predict the appropriate speaker turn in a dialogue.

Interpolate between two text concepts using a CLIP model and FiftyOne Plugins!

Distributed computing framework for Multimodal data written in Python

SCOTCH is a Single-Cell multi-modal integration method leveraging the Optimal Transport algorithm and a cell matCHing strategy

Omni-Modality Processing, Understanding, and Generation

Engage in a semantic segmentation challenge for land cover description using multimodal remote sensing earth observation data, delving into real-world scenarios with a dataset comprising 70,000+ aerial imagery patches and 50,000 Sentinel-2 satellite acquisitions.

VT.ai - Multi-modal AI Chatbot Assistant

This repository contains the source code for my final year project for my undergraduate degree in MTU.

Code and data for the paper "Multimodal Entity Tagging with Multimodal Knowledge Base"

Multimodal Pipeline for Collection of Misinformation Data from Telegram. arxiv: https://arxiv.org/abs/2204.12690 , LREC22 Proceedings: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.159.pdf

An end-to-end masked contrastive video-and-language pre-training framework