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34 repositories
- Docker compose for setting up ASReview server with authentication
asreview-insights
PublicTools such as plots and metrics to analyze (simulated) reviews for ASReview LAB- SYNERGY - Open machine learning dataset on study selection in systematic reviews
asreview-optuna
Public- Official extension for ASReview LAB enabling state-of-the-art NLP models with dense embeddings and deep learning architectures. Ideal for systematic reviews whe…
synergy-dataset-py
Publicasreview-academy
PublicThis repository contains open teaching materials on using ASReviewasreview-makita
PublicWorkflow generator for simulation studies using the command line interface of ASReview LABasreview-wordcloud
PublicASReview extension to generate wordcloud from data files.asreview-artwork
PublicArtwork for the ASReview projectcitation-file-formatting
Publicasreview-datatools
PublicTool to preprocess datasets for ASReview- A model extension for ASReview. ASReview multilingual feature extractor is a feature extractor based on distiluse-base-multilingual-cased-v1.
.github
Publiccloud-usage
Public- The repository is part of the so-called, Mega-Meta study on reviewing factors contributing to substance use, anxiety, and depressive disorders. This repository …
template-extension-new-dataset
Public template- Scripts for the simulation study obtaining the average time to discovery performed on the Depression-data from the systematic review by Brouwer et al. (2019)
asreview-extension-vocab-extractor
Public archiveasreview-simulation-time
Public archiveasreview-ranking-stability
Public archiveasreview-covid19
Public archiveExtension that adds Covid-19 related datasets to ASReviewasreview-hyperopt
Public archiveHyper parameter optimization extension for ASReview. EXPERIMENTALpaper-asreview
PublicScripts for paper: 'ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews'- Scripts to run simulations in ASReview on systematic review data of risk analysis documents of the Medicine Information Centre of the Royal Dutch Pharmacists As…
- Hyperparameter-training for the Mega-Meta project
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