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

10.3389/fphar.2019.01570
Chinese Herbal Medicine (MaZiRenWan) Improves Bowel Movement in Functional Constipation Through Down-Regulating Oleamide
Cited 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 Datasets
Cited 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 Genome
Cited 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 Techniques
Cited 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 Prediction
Cited 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 data
Cited 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 peptides
Cited 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 representations
Cited 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 molecules
Cited 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 Gastrectomy
Cited 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 Design
Cited 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 Monitoring
Cited 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 features
Cited 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 Fibrillation
Cited 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 Learning
Cited 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 Mapping
Cited 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 Classification
Cited 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 biopsies
Cited 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 Imaging
Cited 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 Arabidopsis
Cited 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 Plants
Cited 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 Prediction
Cited 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 Plants
Cited 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 Factory
Cited 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 Approach
Cited 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 data
Cited 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 Images
Cited 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 vivo
Cited 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 Identification
Cited 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 Rhabdomyosarcoma
Cited by: 9
Author(s): V. Cuplov, Nicolas André
Software Mentions: 1
Published: about 6 years ago