Projects: pypi: GPyOpt
https://packages.ecosyste.ms/registries/pypi.org/packages/GPyOpt
The Bayesian Optimization Toolbox
10 versions
Latest release: over 5 years ago
4 dependent packages
7,312 downloads last month
Enhanced Analysis
Repository Activity:
Repository Owner:
Sheffield Machine Learning Software (organization)
Software from the Sheffield machine learning group and collaborators. Academic
Software from the Sheffield machine learning group and collaborators. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+80
Educational commit emails
4 contributors with educational email addresses -
+20
Academic repository owner
Repository owned by academic institution -
+15
Institutional repository owner
Repository owned by research institution -
+12
Science terms in README
6 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 (100)
Papers Mentioning GPyOpt 11
10.1038/s41598-018-29523-2
Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine LearningCited by: 46
Author(s): Ahmed M. Alaa, Mihaela van der Schaar
Software Mentions: 8
Published: about 7 years ago
10.1002/eap.2081
Regional mapping of species‐level continuous foliar cover: beyond categorical vegetation mappingCited by: 5
Author(s): Timm Nawrocki, Matthew L. Carlson, Jeanne L. D. Osnas, E. Jamie Trammell, Frank D. W. Witmer
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0222907
A comparison of machine learning algorithms for the surveillance of autism spectrum disorderCited by: 18
Author(s): Scott H. Lee, Matthew J. Maenner, Charles M. Heilig
Software Mentions: 4
Published: almost 6 years ago
10.1186/s13321-019-0354-7
Bayesian optimization for conformer generationCited by: 34
Author(s): Lucian Chan, Geoffrey Hutchison, Garrett M. Morris
Software Mentions: 3
Published: about 6 years ago
10.1186/s13321-020-00435-6
kGCN: a graph-based deep learning framework for chemical structuresCited by: 49
Author(s): Ryosuke Kojima, Shoichi Ishida, Masateru Ohta, Hiroaki Iwata, Teruki Honma, Yasushi Okuno
Software Mentions: 2
Published: about 5 years ago
10.1038/s41598-020-71856-4
Bayesian optimisation of restriction zones for bluetongue controlCited by: 3
Author(s): Thomas Spooner, Anne E Jones, John Fearnley, Rahul Savani, Joanne Turner, Matthew Baylis
Software Mentions: 2
Published: almost 5 years ago
10.1186/s13321-019-0407-y
Building attention and edge message passing neural networks for bioactivity and physical–chemical property predictionCited by: 101
Author(s): Michael Withnall, Edvard Lindelöf, Ola Engkvist, Hongming Chen
Software Mentions: 2
Published: over 5 years ago
10.3390/molecules25112715
The Role of Structural Representation in the Performance of a Deep Neural Network for X-ray SpectroscopyCited by: 12
Author(s): Marwah M. M. Madkhali, Conor D. Rankine, Thomas J. Penfold
Software Mentions: 2
Published: about 5 years ago
10.1080/14686996.2019.1673670
Prediction and optimization of epoxy adhesive strength from a small dataset through active learningCited by: 50
Author(s): Sirawit Pruksawan, G. Lambard, Sadaki Samitsu, Keitaro Sodeyama, Masanobu Naito
Software Mentions: 1
Published: almost 6 years ago
10.1002/minf.201700123
Application of Generative Autoencoder in <i>De Novo</i> Molecular DesignCited by: 268
Author(s): Thomas Blaschke, Marcus Olivecrona, Ola Engkvist, Jürgen Bajorath, Hongming Chen
Software Mentions: 1
Published: over 7 years ago
10.3390/molecules25215176
A Review of Density Functional Models for the Description of Fe(II) Spin-Crossover ComplexesCited by: 8
Author(s): Anton Römer, Lukas Hasecke, Peter E. Blöchl, Ricardo A. Mata
Software Mentions: 1
Published: over 4 years ago