transformers

Projet de correction/ajout de la bi-écriture des notices bibliographiques du Sudoc.

ANTIDOTE's ACTA Module for Finetuning Transformers for Argumentation Mining.

Vamos a contruir un Chatbot Inteligente capaz de interpretar el lenguaje humano y generar respuestas coherentes con tu propia información

This is a demo of my angular application for grammatical error correction with transformers based on multilingual Bart correction. The model is trained in 4 languages:

Italian English Russian German

Master thesis - Deep learning-based pairwise alignment of protein sequences using transformer architecture.

Demo of Semantic Similarity using spaCy vector and transformer models

Repository for all code related to my Master Thesis "Leveraging Natural Language Phrase Grounding in Images for Online Misinformation Detection" at the University of Tübingen in 2022.

✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a BRAIN PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).

Dense Prediction by Means of Self-attention Layers - research of models for dense prediction (semantic segmentation) - primarily transformers (models in focus: Segmenter, Swin transformer) and comparison with convolutional models (model in focus: pyramidal SwiftNet). Also, research, design and implementation of pyramidal models of transformer-convolutional model (Segmenter-SwiftNet) and transformer-transformer (Segmenter-Segmenter) type. Implementation is in PyTorch deep learning framework. My graduate thesis computer vision project.

In MT-BERT we reproduce a neural language understanding model which implements a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple NLU tasks.

A small, RoBERTa-based language model for the Portuguese language.