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
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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:
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+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
10.1186/s12911-018-0676-9
Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical researchCited by: 7
Author(s): Xiangrui Li, Dongxiao Zhu, Phillip D. Levy
Software Mentions: 1
Published: almost 8 years ago
10.1186/s12911-020-01297-6
Combining structured and unstructured data for predictive models: a deep learning approachCited by: 80
Author(s): Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan, Ping Zhang
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12911-020-01380-y
Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese womenCited by: 7
Author(s): Kai-Leun Tsai, Che-Chang Chang, Yu‐Sheng Chang, Yiying Lu, I-Jung Tsai, Jinhua Chen, Sheng-Hong Lin, Chih-Chun Tai, Yi-Fang Lin, Hui‐Wen Chang, Chun–Ming Lin, Emily Chia-Yu Su
Software Mentions: 1
Published: over 5 years ago
10.18632/aging.102900
Prediction of chronological and biological age from laboratory dataCited by: 15
Author(s): Luke Sagers, Luke Melas-Kyriazi, Chirag Patel, Arjun K. Manrai
Software Mentions: 1
Published: over 6 years ago
10.1186/s12911-020-01131-z
AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networksCited by: 17
Author(s): Laura Kinkead, Ahmed Allam, Michael Krauthammer
Software Mentions: 1
Published: about 6 years ago
10.1186/s12911-021-01562-2
On the predictability of postoperative complications for cancer patients: a Portuguese cohort studyCited by: 3
Author(s): Daniel Gonçalves, Rui Henriques, Lúcio Lara Santos, Rafael S. Costa
Software Mentions: 1
Published: about 5 years ago
10.1186/s12911-019-1008-4
Novel prognostication of patients with spinal and pelvic chondrosarcoma using deep survival neural networksCited by: 19
Author(s): Sung Mo Ryu, Sung Wook Seo, Sun-Ho Lee
Software Mentions: 1
Published: over 6 years ago
10.1186/s12911-019-0782-3
Identifying peer experts in online health forumsCited by: 15
Author(s): V. G. Vinod Vydiswaran, Manoj Reddy
Software Mentions: 1
Published: over 7 years ago
10.1186/s12911-021-01489-8
Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methodsCited by: 6
Author(s): Huan Chen, Yingying Ma, Na Hong, Hao Wang, Longxiang Su, Chun Li, Jie He, Huizhen Jiang, Yun Long, Weiguo Zhu
Software Mentions: 1
Published: about 5 years ago
10.1186/s12911-020-01326-4
Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record dataCited by: 9
Author(s): Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12911-019-0781-4
Clinical text classification with rule-based features and knowledge-guided convolutional neural networksCited by: 76
Author(s): Yao Liang, Chengsheng Mao, Yuan Luo
Software Mentions: 1
Published: over 7 years ago
10.1186/s13073-015-0189-4
Inferring pathway dysregulation in cancers from multiple types of omic dataCited by: 13
Author(s): Shelley M. MacNeil, W. Evan Johnson, Dean Y. Li, Stephen R. Piccolo, Andrea Bild
Software Mentions: 1
Published: about 11 years ago
10.1186/s12911-021-01582-y
Privacy-preserving dataset combination and Lasso regression for healthcare predictionsCited by: 12
Author(s): Marie Beth van Egmond, Gabriele Spini, Onno van der Galiën, Arne IJpma, Thijs Veugen, Wessel Kraaij, Alex Sangers, Thomas Rooijakkers, Peter Langenkamp, Bart Kamphorst, Natasja van de L’Isle, Milena Kooij-Janic
Software Mentions: 1
Published: almost 5 years ago
10.1186/s13073-018-0571-0
Exploring the OncoGenomic Landscape of cancerCited by: 7
Author(s): Lídia Mateo, Oriol Guitart-Pla, Miquel Duran‐Frigola, Patrick Aloy
Software Mentions: 1
Published: about 8 years ago
10.1186/s13073-020-00775-w
CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variationsCited by: 26
Author(s): Shuang Li, K. Joeri van der Velde, Dick de Ridder, Aalt D. J. van Dijk, Dimitrios Soudis, Leslie R. Zwerwer, Patrick Deelen, Dennis Hendriksen, Bart Charbon, Mariëlle van Gijn, Kristin M. Abbott, Birgit Sikkema‐Raddatz, Cleo C. van Diemen, Wilhelmina S. Kerstjens‐Frederikse, Richard J. Sinke, Morris A. Swertz
Software Mentions: 1
Published: about 6 years ago
10.1186/s12911-021-01591-x
Improvement of APACHE II score system for disease severity based on XGBoost algorithmCited by: 8
Author(s): Yan Luo, Zhiyu Wang, Cong Wang
Software Mentions: 1
Published: about 5 years ago
10.3390/ijerph17072437
Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining RoadsCited by: 7
Author(s): Yuting Qin, Yu-Ren Chen, Kun-Peng Lin
Software Mentions: 1
Published: over 6 years ago
10.5808/GI.2019.17.3.e30
Deep learning for stage prediction in neuroblastoma using gene expression dataCited by: 5
Author(s): Aron Park, Seungyoon Nam
Software Mentions: 1
Published: almost 7 years ago
10.3390/ijerph17082788
Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in ChinaCited by: 231
Author(s): Xuehua Han, Juanle Wang, Min Zhang, Xiaojie Wang
Software Mentions: 1
Published: over 6 years ago
10.1093/gigascience/gix115
CNVcaller: highly efficient and widely applicable software for detecting copy number variations in large populationsCited by: 71
Author(s): Xihong Wang, Zhuqing Zheng, Yi Cai, Ting Chen, Chao Li, Weiwei Fu, Yu Jiang
Software Mentions: 1
Published: almost 9 years ago
10.1186/s12880-021-00660-x
Intelligent localization and quantitative evaluation of anterior talofibular ligament injury using magnetic resonance imaging of ankleCited by: 3
Author(s): Wen Yan, Xiangjun Meng, Jinglai Sun, Hui Yu, Zhi Wang
Software Mentions: 1
Published: about 5 years ago
10.1186/s12880-019-0392-7
MRI-based radiomics of rectal cancer: preoperative assessment of the pathological featuresCited by: 58
Author(s): Xiaolu Ma, Shoukuan Fu, Yan Jia, Yuwei Xia, Yongling Li, Jianping Lu
Software Mentions: 1
Published: almost 7 years ago
10.1186/s12880-021-00560-0
Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics modelsCited by: 18
Author(s): Zhihui Li, Xiaolu Ma, Shoukuan Fu, Haidi Lu, Yuwei Xia, Jianping Lu
Software Mentions: 1
Published: over 5 years ago
10.3390/ijerph17145145
Mapping the Potential Distribution of Major Tick Species in ChinaCited by: 9
Author(s): Xin Yang, Gengfeng Zheng, Tiangang Zhou, Jian Zhang, Luqi Wang, Lingjun Xiao, Hongjuan Wu, Sen Li
Software Mentions: 1
Published: about 6 years ago
10.1186/s12920-020-00779-w
TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddingsCited by: 7
Author(s): Trinh Trung Duong Nguyen, Nguyen Quoc Khanh Le, Quang‐Thai Ho, Dinh-Van Phan, Yu‐Yen Ou
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12920-019-0607-3
A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression dataCited by: 21
Author(s): Daichi Shigemizu, Shintaro Akiyama, Yuya Asanomi, Keith A. Boroevich, Alok Sharma, Tatsuhiko Tsunoda, Takashi Sakurai, Kouichi Ozaki, Takahiro Ochiya, Shumpei Niida
Software Mentions: 1
Published: almost 7 years ago
10.1186/s12920-020-00783-0
Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous networkCited by: 7
Author(s): Minghui Liu, Jingyi Yang, Jiacheng Wang, Lei Deng
Software Mentions: 1
Published: almost 6 years ago
10.1007/s13755-020-00123-7
A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adultsCited by: 32
Author(s): Ilias Tachmazidis, Tianhua Chen, Marios Adamou, Grigoris Antoniou
Software Mentions: 1
Published: almost 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
10.3390/ijerph17218187
A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy SessionsCited by: 18
Author(s): Joshua Cohen, Jennifer Wright-Berryman, Lesley Rohlfs, Donald Wright, M. Karen Campbell, Debbie Gingrich, Daniel Santel, John Pestian
Software Mentions: 1
Published: almost 6 years ago