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
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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
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:
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-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scikit-learn 2,431
10.3389/fphar.2019.01570
Chinese Herbal Medicine (MaZiRenWan) Improves Bowel Movement in Functional Constipation Through Down-Regulating OleamideCited by: 9
Author(s): Tao Huang, Ling Zhao, Chengyuan Lin, Lin Lü, Ziwan Ning, Dong-Dong Hu, Linda L. D. Zhong, Zhijun Yang, Zhaoxiang Bian
Software Mentions: 1
Published: over 6 years ago
10.3389/fphar.2020.00069
Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased DatasetsCited by: 71
Author(s): Jincai Yang, Cheng Shen, Niu Huang
Software Mentions: 1
Published: over 6 years ago
10.1128/mSystems.01013-20
Elucidating the Regulatory Elements for Transcription Termination and Posttranscriptional Processing in the Streptomyces clavuligerus GenomeCited by: 5
Author(s): Soonkyu Hwang, Namil Lee, Donghui Choe, Yong Jae Lee, Woori Kim, Yu‐Jin Jeong, Suhyung Cho, Jaehyung Kim, Byung-Kwan Cho
Software Mentions: 1
Published: about 5 years ago
10.3389/fphar.2019.00913
Identification of Novel Antibacterials Using Machine Learning TechniquesCited by: 27
Author(s): Yan A. Ivanenkov, Alex Zhavoronkov, R. S. Yamidanov, Ilya А. Osterman, Петр В. Сергиев, Vladimir Aladinskiy, Anastasia V. Aladinskaya, Victor A Terentiev, Mark S. Veselov, Andrey A. Ayginin, В. Г. Карцев, Dmitry A. Skvortsov, А. В. Чемерис, Alexey Kh Baimiev, Alina A. Sofronova, Alexander S. Malyshev, Gleb I. Filkov, Dmitry S. Bezrukov, Bogdan Zagribelnyy, Evgeny Putin, Maria M Puchinina, Olga А. Dontsova
Software Mentions: 1
Published: about 7 years ago
10.3389/fphar.2020.00112
EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality PredictionCited by: 13
Author(s): Fangping Wan, Shuya Li, Tingzhong Tian, Yipin Lei, Dan Zhao, Jianyang Zeng
Software Mentions: 1
Published: over 6 years ago
10.1186/s12920-018-0388-0
Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics dataCited by: 38
Author(s): Yasser EL-Manzalawy, Tsung Yu Hsieh, Manu Shivakumar, Dokyoon Kim, Vasant Honavar
Software Mentions: 1
Published: about 8 years ago
10.1039/d1sc01713f
Machine learning designs non-hemolytic antimicrobial peptidesCited by: 40
Author(s): Alice Capecchi, Xingguang Cai, Hippolyte Personne, Thilo Köhler, Christian van Delden, Jean‐Louis Reymond
Software Mentions: 1
Published: over 5 years ago
10.1039/c8sc04175j
Learning continuous and data-driven molecular descriptors by translating equivalent chemical representationsCited by: 280
Author(s): Robin Winter, Floriane Montanari, Frank Noé, Djork-Arné Clevert
Software Mentions: 1
Published: over 7 years ago
10.1039/c9sc02677k
A deep neural network model for packing density predictions and its application in the study of 1.5 million organic moleculesCited by: 27
Author(s): Mohammad Atif Faiz Afzal, Aditya Sonpal, Mojtaba Haghighatlari, Andrew J. Schultz, Johannes Hachmann
Software Mentions: 1
Published: over 7 years ago
10.3390/jpm11080748
Application of Machine Learning for Predicting Anastomotic Leakage in Patients with Gastric Adenocarcinoma Who Received Total or Proximal GastrectomyCited by: 3
Author(s): Shui-jin Shao, Lu Liu, Yufeng Zhao, Lei Mu, Qiyi Lu, Jianbing Qin
Software Mentions: 1
Published: about 5 years ago
10.1016/j.chom.2018.12.001
HIV-1 Neutralizing Antibody Signatures and Application to Epitope-Targeted Vaccine DesignCited by: 113
Author(s): Christine A. Bricault, Karina Yusim, Michael S. Seaman, Hyejin Yoon, James Theiler, Elena E. Giorgi, Kshitij Wagh, Maxwell Theiler, Peter Hraber, Jennifer P. Macke, Edward F. Kreider, Gerald H. Learn, Beatrice H. Hahn, Johannes F. Scheid, Julie A. Kovacs, Jennifer L. Shields, Christy L. Lavine, Fadi Ghantous, Michael Rist, Madeleine Bayne, George H. Neubauer, Katherine McMahan, Hanqin Peng, Coraline Chéneau, Jennifer Jones, Jie Zeng, Christina Ochsenbauer, Joseph P. Nkolola, Kathryn E. Stephenson, Bing Chen, S. Gnanakaran, Mattia Bonsignori, LaTonya D. Williams, Barton F. Haynes, Nicole A. Doria‐Rose, John R. Mascola, David C. Montefiori, Dan H. Barouch, Bette Korber
Software Mentions: 1
Published: over 7 years ago
10.3390/cancers13092190
Clinical Assay for the Early Detection of Colorectal Cancer Using Mass Spectrometric Wheat Germ Agglutinin Multiple Reaction MonitoringCited by: 8
Author(s): I-Jung Tsai, Emily Chia Yu Su, I‐Lin Tsai, Chun–Ming Lin
Software Mentions: 1
Published: over 5 years ago
10.1186/s12920-018-0436-9
CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated featuresCited by: 14
Author(s): Xuan Zou, Jun Wang, Jing Li, Wen Chen, Changning Liu
Software Mentions: 1
Published: almost 8 years ago
10.3389/fphys.2020.572874
In silico Comparison of Left Atrial Ablation Techniques That Target the Anatomical, Structural, and Electrical Substrates of Atrial FibrillationCited by: 34
Author(s): Caroline Roney, Marianne Beach, Arihant Mehta, Iain Sim, Cesare Corrado, Rokas Bendikas, José Alonso Solís-Lemus, Orod Razeghi, John Whitaker, Louisa O’Neill, Gernot Plank, Edward J. Vigmond, Steven E. Williams, Mark O’Neill, Steven Niederer
Software Mentions: 1
Published: almost 6 years ago
10.3389/fphys.2021.674106
Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep LearningCited by: 10
Author(s): Marica Muffoletto, Ahmed Qureshi, Aya Mutaz Zeidan, Laila Muizniece, Xiao Fu, Jichao Zhao, Aditi Roy, Paul A. Bates, Oleg Aslanidi
Software Mentions: 1
Published: over 5 years ago
10.3389/fphys.2021.704122
Deep Learning Classification of Unipolar Electrograms in Human Atrial Fibrillation: Application in Focal Source MappingCited by: 7
Author(s): S. Matthew Liao, Don Ragot, Sachin Nayyar, Adrian Suszko, Zhaolei Zhang, Bo Wang, Vijay S. Chauhan
Software Mentions: 1
Published: about 5 years ago
10.3390/ani11010050
Determination of Body Parts in Holstein Friesian Cows Comparing Neural Networks and k Nearest Neighbour ClassificationCited by: 7
Author(s): Jennifer Salau, Jan Haas, Wolfgang Junge, Georg Thaller
Software Mentions: 1
Published: over 5 years ago
10.1186/s12916-020-01860-y
Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsiesCited by: 37
Author(s): Peng Xue, Chaohua Tang, Qing Li, Yuexiang Li, Yu Shen, Yuqian Zhao, Jiawei Chen, Jianrong Wu, Longyu Li, Wei Wang, Yucong Li, Xiaoli Cui, Shaokai Zhang, Wenhua Zhang, Xun Zhang, Kai Ma, Yefeng Zheng, Tianyi Qian, Man Tat Alexander Ng, Zhihua Liu, You‐Lin Qiao, Yu Jiang, Fen Zhao
Software Mentions: 1
Published: almost 6 years ago
10.3389/fpls.2018.00603
Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence ImagingCited by: 81
Author(s): Jieni Yao, Dawei Sun, Haiyan Cen, Haixia Xu, Haiyong Weng, Fang Yuan, Yong He
Software Mentions: 1
Published: over 8 years ago
10.3389/fpls.2016.01936
A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in ArabidopsisCited by: 38
Author(s): Ying Ni, Delasa Aghamirzaie, Haitham Elmarakeby, Eva Collakova, Li Song, Ruth Grene, Lenwood S. Heath
Software Mentions: 1
Published: over 9 years ago
10.3389/fpls.2018.01734
A Pipeline for Classifying Deleterious Coding Mutations in Agricultural PlantsCited by: 7
Author(s): Maxim S. Kovalev, Anna A. Igolkina, Maria Samsonova, Sergey V. Nuzhdin
Software Mentions: 1
Published: almost 8 years ago
10.3389/fpls.2020.590529
Machine Learning Techniques for Soybean Charcoal Rot Disease PredictionCited by: 20
Author(s): Elham Khalili, Samaneh Kouchaki, Shahin Ramazi, Faezeh Ghanati
Software Mentions: 1
Published: over 5 years ago
10.3389/fpls.2016.01451
Better Than Nothing? Limitations of the Prediction Tool SecretomeP in the Search for Leaderless Secretory Proteins (LSPs) in PlantsCited by: 23
Author(s): Andrew Lonsdale, Melissa J. Davis, Monika S. Doblin, Antony Bacic
Software Mentions: 1
Published: almost 10 years ago
10.3389/fpls.2019.00227
Leaf-Movement-Based Growth Prediction Model Using Optical Flow Analysis and Machine Learning in Plant FactoryCited by: 25
Author(s): Shogo Nagano, Shogo Moriyuki, Kazumasa Wakamori, Hiroshi Mineno, Hirokazu Fukuda
Software Mentions: 1
Published: over 7 years ago
10.3390/jpm11040312
Machine Learning in Prediction of IgA Nephropathy Outcome: A Comparative ApproachCited by: 6
Author(s): Andrzej Konieczny, Jakub Stojanowski, Magdalena Krajewska, Mariusz Kusztal
Software Mentions: 1
Published: over 5 years ago
10.1186/s12916-019-1405-7
Dissecting genetic factors affecting phenylephrine infusion rates during anesthesia: a genome-wide association study employing EHR dataCited by: 13
Author(s): Yanfei Zhang, S. Mark Poler, Jiang Li, Vida Abedi, Sarah A. Pendergrass, Marc S. Williams, Ming Ta Michael Lee
Software Mentions: 1
Published: about 7 years ago
10.3389/fpls.2019.01281
Mapping Aboveground Biomass of Four Typical Vegetation Types in the Poyang Lake Wetlands Based on Random Forest Modelling and Landsat ImagesCited by: 18
Author(s): Rongrong Wan, Peng Wang, Xiaolong Wang, Xing Yao, Xue Dai
Software Mentions: 1
Published: almost 7 years ago
10.7554/eLife.34700
Chronic 2P-STED imaging reveals high turnover of dendritic spines in the hippocampus in vivoCited by: 124
Author(s): Thomas Pfeiffer, Stefanie Poll, Stéphane Bancelin, Julie Angibaud, Vvg Krishna Inavalli, Kevin Keppler, Manuel Mittag, Martin Fuhrmann, U. Valentin Nägerl
Software Mentions: 1
Published: about 8 years ago
10.3390/ani10060927
Reliability of Family Dogs’ Sleep Structure Scoring Based on Manual and Automated Sleep Stage IdentificationCited by: 12
Author(s): Anna Gergely, Orsolya Kiss, Vivien Reicher, Ivaylo Borislavov Iotchev, Enikő Kovács, Ferenc Gombos, András A. Benczúr, Attila Galambos, József Topál, Anna Kis
Software Mentions: 1
Published: over 6 years ago
10.3390/cancers12071944
Machine Learning Approach to Forecast Chemotherapy-Induced Haematological Toxicities in Patients with RhabdomyosarcomaCited by: 9
Author(s): V. Cuplov, Nicolas André
Software Mentions: 1
Published: about 6 years ago