An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Projects: pypi: nolearn

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

scikit-learn compatible neural network library
10 versions
Latest release: over 5 years ago
342 downloads last month

Enhanced Analysis
Educational Contributors: [email protected]
Repository Activity:
Repository Owner: Daniel Nouri (user)
Machine Learning Expert and Software Engineer
README Analysis:
Science Score: 95/100
Starting Score: 100 points
Bonuses:
  • +20 Educational commit emails
    1 contributors with educational email addresses
  • +6 Science terms in README
    3 scientific terms found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -15 No science keywords
    No scientific terms found in keywords/classifiers

Very Likely Science (95)

Papers Mentioning nolearn 1

10.1186/s13321-017-0232-0
Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set
Cited by: 207
Author(s): Eelke B. Lenselink, Niels ten Dijke, Brandon J. Bongers, George Papadatos, Herman van Vlijmen, Wojtek Kowalczyk, Adriaan P. IJzerman, Gerard J. P. van Westen
Software Mentions: 5
Published: almost 8 years ago