Projects: pypi: pyabc

https://packages.ecosyste.ms/registries/pypi.org/packages/pyabc

Distributed, likelihood-free ABC-SMC inference
110 versions
Latest release: almost 3 years ago
2 dependent packages
525 downloads last month

Enhanced Analysis
Educational Contributors: pnanda@umich.edu
Repository Activity:
Repository Owner: Data-driven Computational Modelling (organization)
Hasenauer Lab @ University of Bonn / Helmholtz Munich Academic
README Analysis: DOI Found
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +20 Educational commit emails
    1 contributors with educational email addresses
  • +20 Academic repository owner
    Repository owned by academic institution
  • +15 Institutional repository owner
    Repository owned by research institution
  • +4 Science terms in README
    2 scientific terms found in README
  • +10 DOI references
    1 DOI references found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -10 No science terms in description
    No scientific terms found in description

Very Likely Science (100)

Papers Mentioning pyabc 1

10.1016/j.compbiomed.2018.10.015
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
Cited by: 39
Author(s): Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis, Stefania Garasto, C. Stuart Houston, Rasheda A. Chowdhury, Fu Siong Ng, Anil A. Bharath, Nicholas S. Peters
Software Mentions: 1
Published: over 7 years ago