A bash script for an automated Rosetta Abinitio folding simulation on an HPC

Sentence simplification using transformer models

This project aims to simplify texts from research papers using advanced natural language processing (NLP) techniques, making them more accessible to a broader audience

This repository contains an implementation of a neural text simplification model that combines sequence-to-sequence learning with reinforcement learning and lexical-semantic loss. The model aims to simplify complex text while maintaining meaning and grammatical correctness.

Im Datensatz "SARI-Hospitalisierungsinzidenz" des Robert Koch-Instituts werden die wöchentlichen Inzidenzen schwerer akuter respiratorischer Infektionen (SARI) auf Bundesebene in Deutschland bereitgestellt. Die Daten stammen aus der syndromischen Krankenhaussurveillance ICOSARI, die auf ICD-10-Diagnosecodes aus etwa 70 Sentinelkliniken basiert. ...

Datasets for Persian Lexical Simplification and Complex word identification, containing labeld complex, non-complex words and sentences paired with their simpler alternatives. Designed for training and evaluating Natural Language Processing (NLP) models .

Generated automated weekly sales forecast by departments in 45 stores using a dataset of weekly sales data spanning over 2 years, by employing the Random Forest Regressor model with achieving the Mean Absolute Error (MAE) of less than 10% of the forecast.

Persian text simplification using lexical simplification

[Ongoing] Complete workflow for close to real-time monitoring of SARI epidemiology in Fortaleza.

Zur Einschätzung der Krankheitslast schwerer symptomatischer Atemwegsinfektionen im stationären Bereich wird mithilfe von Daten aus der syndromischen Krankenhaussurveillance ICOSARI die Inzidenz der Fälle, die mit einer schweren akuten respiratorischen Infektion (SARI) und einer COVID-19-Diagnose in ein Krankenhaus zur Behandlung aufgenommen w...