Projects: pypi: scikit-learn

https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn

A set of python modules for machine learning and data mining
72 versions
Latest release: almost 3 years ago
5,918 dependent packages
43,777,417 downloads last month

Enhanced Analysis
Educational Contributors: a.joly@ulg.ac.be vanderplas@astro.washington.edu bh00038@cvplws63.eps.surrey.ac.uk ha258@cornell.edu satra@mit.edu zl2480@columbia.edu pinto@alum.mit.edu jz4721@nyu.edu matteo.visconti.gr@dartmouth.edu vighneshbirodkar@nyu.edu robert.l.marchman@dartmouth.edu rs2715@stern.nyu.edu claire.savard@colorado.edu aaaagrawal@iitb.ac.in ihaque@cs.stanford.edu rspeer@mit.edu mluessi@nmr.mgh.harvard.edu amitibo@tx.technion.ac.il ericchang2017@u.northwestern.edu jkarno@seas.upenn.edu minghui.liu@trincoll.edu m.lyra@sussex.ac.uk andrew.knyazev@ucdenver.edu lamb@cs.stanford.edu camilo@neurostat.mit.edu martino.sorbaro@ed.ac.uk t.sheerman-chase@surrey.ac.uk cgohlke@uci.edu batulaa@drexel.edu kcarnold@alum.mit.edu apw@seas.harvard.edu abie@alum.mit.edu rossbar@berkeley.edu alceballosa@unal.edu.co fhoang7@berkeley.edu hechen@seas.upenn.edu stefan@sun.ac.za deepyaman.datta@utexas.edu rebekah.kim@columbia.edu shubham.bhardwaj2015@vit.ac.in slama@berkeley.edu nisingh@wharton.upenn.edu kanikas3@vt.edu jdlabal@stanford.edu kjells@uw.edu markus.loning.17@ucl.ac.uk k_nzw@klis.tsukuba.ac.jp dkirkby@uci.edu balawson@bu.edu c.brummitt@columbia.edu choo8@illinois.edu giorgio.patrini@anu.edu.au shangwuy@andrew.cmu.edu rafael.possas@sydney.edu.au olsonran@msu.edu brian.mcfee@nyu.edu naj273@nyu.edu dgrusak@trinity.edu emd222@cornell.edu voth0@sewanee.edu trishnendu.dd2014@cs.iiests.ac.in apeng@berkeley.edu boucher@cs.umass.edu lunt@ctbp.ucsd.edu bakhbari@mgh.harvard.edu piraka@brandeis.edu neal.lathia@cl.cam.ac.uk razhoshia@post.bgu.ac.il michal.romaniuk06@ic.ac.uk m.batchkarov@sussex.ac.uk lemin@cs.colostate.edu rudvlf0413@korea.ac.kr vredev16@msu.edu raschkas@msu.edu ali.baharev@univie.ac.at a.krasoulis@sms.ed.ac.uk arokem@berkeley.edu gabrielvr@al.insper.edu.br eric.sanchez1234@email.bakersfieldcollege.edu fcchou@stanford.edu rofuyu@cs.utexas.edu glemaitre@visor.udg.edu naoyaiijima@hiroshima-u.ac.jp ayushgup@iitk.ac.in joel@vlan-2666-10-17-16-173.staff.wireless.sydney.edu.au jam7w2@mail.missouri.edu j.hale09@imperial.ac.uk tw991@nyu.edu patel_zeel@iitgn.ac.in vincent.lostanlen@nyu.edu stvjc@channing.harvard.edu ritchieng@u.nus.edu bansalsi@usc.edu rbarnes@umn.edu rrohan@cs.cmu.edu liutong.zhou@columbia.edu mdh386@nyu.edu mlf419@nyu.edu shreyave@usc.edu jin.siy@northeastern.edu samuel_ainsworth@brown.edu cwijes1@lsu.edu wadawson@ucdavis.edu xinyuliu@umich.edu rz258@cornell.edu daniel.mallia21@myhunter.cuny.edu argriffi@ncsu.edu filipj@umich.edu kms15@case.edu sam.dixon@berkeley.edu khong008@e.ntu.edu.sg jnelso11@gmu.edu jclawton@umich.edu jaehyunahn@sogang.ac.kr ijpulidos@unal.edu.co gstupp@scripps.edu justhube@umich.edu noamkeidar@campus.technion.ac.il nityamd@nyu.edu css459@nyu.edu alyee@ucsd.edu andersk@mit.edu dhanus@mit.edu coreylevinson@uchicago.edu cailean.carter@quadram.ac.uk bral4884@colorado.edu dschult@colgate.edu dpwe@ee.columbia.edu dylan.cashman@tufts.edu pawelsendyk@berkeley.edu qzhang90@gatech.edu mhaberla@calpoly.edu saketk@student.unimelb.edu.au eunjikim@dm.snu.ac.kr erinrhof@uw.edu ksivaman@purdue.edu garmstrong@ucsd.edu konstantin.shmelkov@polytechnique.edu e175774@ie.u-ryukyu.ac.jp hermidal@cs.umd.edu jbearer@hmc.edu jmarin@csail.mit.edu
Repository Activity:
Repository Owner: scikit-learn (organization)
Repositories related to the scikit-learn Python machine learning library. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +2840 Educational commit emails
    142 contributors with educational email addresses
  • +20 Academic repository owner
    Repository owned by academic institution
  • +15 Institutional repository owner
    Repository owned by research institution
  • +6 Science terms in README
    3 scientific terms found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem

Very Likely Science (100)

Papers Mentioning scikit-learn 2,431

10.1038/srep23909
Granuphilin exclusively mediates functional granule docking to the plasma membrane
Cited by: 21
Author(s): Kouichi Mizuno, Takuji Fujita, Hiroshi Gomi, Tetsuro Izumi
Software Mentions: 1
Published: over 10 years ago
10.2196/25053
Establishing Machine Learning Models to Predict Curative Resection in Early Gastric Cancer with Undifferentiated Histology: Development and Usability Study
Cited by: 23
Author(s): Chang Seok Bang, Ji Yong Ahn, Joo Hang Kim, Young Il Kim, Il Ju Choi, Woon Geon Shin
Software Mentions: 1
Published: over 5 years ago
10.1038/srep33883
An Automated Microwell Platform for Large-Scale Single Cell RNA-Seq
Cited by: 100
Author(s): Jinzhou Yuan, Peter A. Sims
Software Mentions: 1
Published: almost 10 years ago
10.1186/s12864-020-06923-1
Optimizing the genetic prediction of the eye and hair color for North Eurasian populations
Cited by: 9
Author(s): Elena Balanovska, Elena Lukianova, Janet Kagazezheva, Andrey Maurer, N. A. Leybova, A. T. Agdzhoyan, И. О. Горин, В. С. Петрушенко, Maxat Zhabagin, Vladimir Yu. Pylev, Elena S. Kostryukova, Oleg Balanovsky
Software Mentions: 1
Published: about 6 years ago
10.1038/srep43704
Functional MRI in Awake Dogs Predicts Suitability for Assistance Work
Cited by: 32
Author(s): Gregory S. Berns, Andrew M. Brooks, Mark Spivak, Kerinne Levy
Software Mentions: 1
Published: over 9 years ago
10.1038/srep46321
Complete fold annotation of the human proteome using a novel structural feature space
Cited by: 5
Author(s): Sarah A. Middleton, Joseph Illuminati, Junhyong Kim
Software Mentions: 1
Published: over 9 years ago
10.1038/s41598-017-02307-w
Prediction of cognitive and motor outcome of preterm infants based on automatic quantitative descriptors from neonatal MR brain images
Cited by: 22
Author(s): Pim Moeskops, Ivana Išgum, Kristin Keunen, Nathalie H.P. Claessens, Ingrid C. van Haastert, Floris Groenendaal, Linda S. de Vries, Max A. Viergever
Software Mentions: 1
Published: over 9 years ago
10.1038/s41598-017-04847-7
Identifying Human SIRT1 Substrates by Integrating Heterogeneous Information from Various Sources
Cited by: 15
Author(s): Zichao Zhai, Ming Tang, Yue Yang, Ming Lu, Wei‐Guo Zhu, Tingting Li
Software Mentions: 1
Published: about 9 years ago
10.1038/s41598-017-05557-w
Multiple Ligand-Bound States of a Phosphohexomutase Revealed by Principal Component Analysis of NMR Peak Shifts
Cited by: 8
Author(s): Jia Xu, Akella V. S. Sarma, Yirui Wei, Lesa J. Beamer, Steven R. Van Doren
Software Mentions: 1
Published: about 9 years ago
10.1038/s41598-017-06692-0
ADME-Space: a new tool for medicinal chemists to explore ADME properties
Cited by: 55
Author(s): Giovanni Bocci, Emanuele Carosati, Philippe Vayer, Alban Arrault, Sylvain Lozano, Gabriele Cruciani
Software Mentions: 1
Published: about 9 years ago
10.1038/s41598-017-08660-0
Rapid phenotypic individualization of bacterial sister cells
Cited by: 18
Author(s): Sander K. Govers, Antoine Adam, Hendrik Blockeel, Abram Aertsen
Software Mentions: 1
Published: about 9 years ago
10.2196/27059
Mining and Validating Social Media Data for COVID-19–Related Human Behaviors Between January and July 2020: Infodemiology Study
Cited by: 7
Author(s): Ashlynn R. Daughton, Courtney D Shelley, Martha Underwood Barnard, Dax Gerts, Chrysm Watson Ross, Isabel Crooker, Gopal Nadiga, Nilesh Mukundan, Nidia Yadria Vaquera Chavez, Nidhi Parikh, Travis Pitts, Geoffrey Fairchild
Software Mentions: 1
Published: over 5 years ago
10.18632/aging.202954
Predicting intraventricular hemorrhage growth with a machine learning-based, radiomics-clinical model
Cited by: 11
Author(s): Dongqin Zhu, Qian Chen, Yingying Xiang, Chenyi Zhan, Mingyue Zhang, Chao Chen, Qichuan Zhuge, Weijian Chen, Xiaoming Yang, Yunjun Yang
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-017-15622-z
Hydrogen adsorption on doped MoS2 nanostructures
Cited by: 57
Author(s): Mikko Hakala, Rasmus Kronberg, Kari Laasonen
Software Mentions: 1
Published: almost 9 years ago
10.1186/s12862-015-0283-7
Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates
Cited by: 93
Author(s): Paul B. Frandsen, Brett Calcott, Christoph Mayer, Robert Lanfear
Software Mentions: 1
Published: over 11 years ago
10.2196/11029
Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study
Cited by: 100
Author(s): Chul Hyun Cho, Taek Lee, Min Gwan Kim, Hoh Peter In, Heon Jeong Lee
Software Mentions: 1
Published: over 7 years ago
10.1038/s41598-017-16674-x
Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records
Cited by: 66
Author(s): Daniel Bean, Honghan Wu, Ehtesham Iqbal, Olubanke Dzahini, Zina Ibrahim, Matthew Broadbent, Robert Stewart, Richard Dobson
Software Mentions: 1
Published: almost 9 years ago
10.1038/s41598-017-17299-w
A Universal 3D Voxel Descriptor for Solid-State Material Informatics with Deep Convolutional Neural Networks
Cited by: 45
Author(s): Seiji Kajita, Nobuko Ohba, Ryosuke Jinnouchi, Ryoji Asahi
Software Mentions: 1
Published: almost 9 years ago
10.1038/s41598-017-17451-6
Automated tracking to measure behavioural changes in pigs for health and welfare monitoring
Cited by: 94
Author(s): Stephen G. Matthews, Amy Miller, Thomas Plötz, Ι. Kyriazakis
Software Mentions: 1
Published: over 8 years ago
10.1186/s12873-021-00447-x
Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning model
Cited by: 11
Author(s): Lingxiao He, Lei Luo, Xiaoling Hou, Dengbin Liao, Ran Liu, Chaowei Ouyang, Guanglin Wang
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-017-18993-5
Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach
Cited by: 31
Author(s): Rémy Vandaele, Jessica Aceto, Marc Müller, Frédérique Péronnet, Vincent Debat, Ching-Wei Wang, Chih Cheng Huang, Sébastien Jodogne, Philippe Martinive, Pierre Geurts, Raphaël Marée
Software Mentions: 1
Published: over 8 years ago
10.1038/s41598-017-18972-w
Developing an in silico minimum inhibitory concentration panel test for Klebsiella pneumoniae
Cited by: 117
Author(s): M. Nguyen, Thomas Brettin, S. Wesley Long, James M. Musser, Randall J. Olsen, Robert Olson, Maulik Shukla, Rick Stevens, Fangfang Xia, Hyunseung Yoo, James J. Davis
Software Mentions: 1
Published: over 8 years ago
10.1038/s41598-018-21011-x
Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits
Cited by: 37
Author(s): Andrew Katumba, Jelle Heyvaert, Bendix Schneider, Sarah Uvin, Joni Dambre, Peter Bienstman
Software Mentions: 1
Published: over 8 years ago
10.1038/s41598-018-21544-1
Machine learning for the meta-analyses of microbial pathogens’ volatile signatures
Cited by: 35
Author(s): Susana Palma, Ana P. Traguedo, Ana R. Porteira, María Joáo Frias, Hugo Gamboa, Ana C. A. Roque
Software Mentions: 1
Published: over 8 years ago
10.1038/s41598-018-21640-2
FISSA: A neuropil decontamination toolbox for calcium imaging signals
Cited by: 55
Author(s): Sander W. Keemink, Scott Lowe, Janelle M.P. Pakan, Evelyn Dylda, Mark C. W. van Rossum, Nathalie L. Rochefort
Software Mentions: 1
Published: over 8 years ago
10.1038/s41598-018-21541-4
Creating a 3D microbial and chemical snapshot of a human habitat
Cited by: 30
Author(s): Clifford A. Kapono, James T. Morton, Amina Bouslimani, Alexey V. Melnik, Kayla Orlinsky, Tal Luzzatto Knaan, Neha Garg, Yoshiki Vázquez-Baeza, Ivan Protsyuk, Stefan Janssen, Quanyin Zhu, Theodore Alexandrov, Larry Smarr, Rob Knight, Pieter C. Dorrestein
Software Mentions: 1
Published: over 8 years ago
10.1186/s12872-021-02225-w
Prediction of cardiovascular risk in patients with chronic obstructive pulmonary disease: a study of the National Health and Nutrition Examination Survey database
Cited by: 7
Author(s): Yun Shi, Jing Zhang, Ying-Shuo Huang
Software Mentions: 1
Published: about 5 years ago
10.1038/s41598-018-22240-w
Prediction and characterization of human ageing-related proteins by using machine learning
Cited by: 40
Author(s): Csaba Kerepesi, Bálint Daróczy, Ádám Sturm, Tibor Vellai, András A. Benczúr
Software Mentions: 1
Published: over 8 years ago
10.1186/s12885-019-5646-9
Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis
Cited by: 49
Author(s): Lei Yu, Guangyu Tao, Lei Zhu, Gang Wang, Ziming Li, Jianding Ye, Qunhui Chen
Software Mentions: 1
Published: over 7 years ago
10.1186/s12915-020-00807-2
New targeted approaches for epigenetic age predictions
Cited by: 46
Author(s): Yang Han, Julia Franzen, Thomas Stiehl, Michael Gobs, Chao-Chung Kuo, Miloš Nikolić, Jan Hapala, Barbara Koop, Klaus Strathmann, Stefanie Ritz‐Timme, Wolfgang Wagner
Software Mentions: 1
Published: about 6 years ago