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natural language processing

Wellespring Project JupyterLab setup for local NLP (natural language processing) tools and tasks. Supports OFFLINE processing for maximum data security, privacy, and copyright/intellectual property protection.

Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

ARSINOE SustainGraph (Knowledge Graph)

Projet de classification d'intention de textes mené dans le cadre du cours de Natural Language Processing (NLP) à CentraleSupélec.

O projeto consiste em dois scripts que servem como base para complementar o fluxo da aplicação como um todo. Ambos os scripts são utilizados para facilitar e acelerar o processo de criação de quizzes e a ordenação das próximas palavras na revisão de um flashcard. São utilizadas bibliotecas como gensim e keras para a implementação dos scripts

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

A repository containing assignment exercises of "Computational Argumentation" (SS21) course in Universität Paderborn

NVIDIA GTC 21 workshop resources.

The project uses natural language processing to automatically assess causal diagrams filled out by students based on semantic distance from the model causal diagram provided.

Files of paper - Segmentation of words written in the Latin alphabet: a systematic review

Used Keras, Tensorflow, Word2Vec, and NLTK to create a two-network Natural Language Processing pipeline, which writes Shakespearean sonnets in iambic pentameter The content-controlling neural network takes sequence of word embeddings as input and