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325-336 of 486

Data Processing (What Works When for Whom)

Data processing scripts for the project What Works When for Whom

  • Jupyter Notebook
  • Python
  • Shell
1
0

Democracy Scraping Tool

A scraping tool to scrape various sources of country reports.

  • scraping
  • Python
2
0

Democracy text classification

LLM transfer learning to classify country reports into democracy dimensions.

  • fine-tuning
  • llm
  • transfer learning
  • Jupyter Notebook
  • Python
2
0

Democracy Topic Modelling

Various Jupyter notebooks for topic modelling on democracy texts including BERT and dictionary, keyword-based approaches.

  • BERT
  • dictionary
  • Topic Modelling
  • Jupyter Notebook
  • Python
2
0

DG_RoomAcoustics

DG_RoomAcoustics is an open-source python-based software for room acoustics using the time-domain wave-based method. It implements the nodal discontinuous Galerkin method for spatial discretization of the linear acoustic equations, integrated over time with explicit schemes.

  • Acoustics
  • High performance computing
  • python
  • Python
3
0
Logo for Discuit

Discuit

Python package with the goal to split datasets (e.g. words defined by several variables) into subsets that are as comparable as possible.

  • Data
  • linguistics
  • python
  • + 1
  • Python
  • Shell
2
0

Distance explainer

Explainable AI tool for explaining models that create embeddings.

  • Embedded spaces
  • XAI
  • Python
  • Jupyter Notebook
  • Shell
2
0

doc2sentences

A python library to split sentence-wise and convert various document formats to CSV format.

  • CSV
  • PDF
  • python
  • + 1
  • Rich Text Format
  • Python
  • Shell
2
0

Drug named entity recognition

A lightweight Python library for finding drug names in a string, otherwise known as named entity recognition (NER) and named entity linking. This library finds only high confidence drugs and doesn't support misspellings at present.

  • Data Science
  • Medical text
  • Natural Language Processing
  • + 1
  • Jupyter Notebook
  • Python
1
0

DTBase

DTBase is a starter kit for making your own digital twin. Forking it will get you started with a database, a backend API, infrastructure for data ingress and running models, a basic web frontend, etc. You can then start building the more bespoke features of your digital twin on this foundation.

  • Digital Twins
  • Python
  • HTML
  • TypeScript
  • + 3
0
0

DumME

Scikit-learn compatible version of Mixed-Effects Random Forests

  • Python
2
0

e2e-Dutch

Coreference resolution for Dutch: automatically links references to the same entity in Dutch written texts.

  • Machine learning
  • Text analysis & natural language processing
  • Python
  • C++
  • Shell
2
0