Jelle Teijema's repositories
asreview-simulation-project
A repo for a large scale simulation study based on ASReview
asreview-plugin-wide-doc2vec
This plugin adds a new feature extractor based on doc2vec with a wider vector.
ASReview-experimental-models
A collection of random models for ASReview
asreview-google-colab
A simple Jupyter Notebook for launching ASReview using Google Colab and a NGROK link
BitwardenPluginPowertoys
Plugin to interact with Bitwarden through PowerToys Run. Originally by @abbasou.
synergy-simulations-website
This repo serves as the output webserver for the ASReview Simulation Project, which uses a Docker image to run large-scale ASReview simulations
Code-for-Simulation-Based-Active-Learning-for-Systematic-Reviews
Code visualization notebooks for "Simulation-Based Active Learning for Systematic Reviews: A Systematic Review of the Literature"
asreview-XGBoost
A model for ASReview based on XGBoost
asreview-academy
This repository contains open teaching materials on using ASReview
asreview-artwork
Artwork for the ASReview project
asreview-insights
Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB
asreview-makita
Workflow generator for simulation studies using the command line interface of ASReview LAB
ASReview-Optuna-Optimization
ASReview models optimization using the Optuna Framework
datahugger
One downloader for many scientific data and code repositories! DOI:open_hands:Data
efficiency-nodes-comfyui
A collection of ComfyUI custom nodes.
home-assistant-frank_energie
Custom Component voor Home Assistant Frank Energie prijsinformatie
multilingual-feature-extractor
A feature extractor for ASReview
PowerToys-Run-Spotify
Search and control Spotify from PowerToys Run.
report-your-slope
A small python tool for recalculating the intercepts and slope for plots from studies where the author did not report them.
XASR-COCKATIEL
🦜Code for paper: "COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP" (ACL 2023 Findings)