Data

Tools

Indexes

Applications

Experiments

Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Projects: pypi: lightgbm

https://packages.ecosyste.ms/registries/pypi.org/packages/lightgbm

LightGBM Python Package
32 versions
Latest release: almost 2 years ago
311 dependent packages
6,859,775 downloads last month

Enhanced Analysis
Educational Contributors: [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected] [email protected]
Repository Activity:
Repository Owner: Microsoft (organization)
Open source projects and samples from Microsoft Institutional
README Analysis: ArXiv Preprint
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +200 Educational commit emails
    10 contributors with educational email addresses
  • +15 Institutional repository owner
    Repository owned by research institution
  • +18 Science terms in README
    9 scientific terms found in README
  • +6 Academic links
    1 academic links found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -10 No science terms in description
    No scientific terms found in description
Very Likely Science (100)

Papers Mentioning lightgbm 10

10.3390/ani11072131
Predicting Subclinical Ketosis in Dairy Cows Using Machine Learning Techniques
Cited by: 7
Author(s): Alicja Satoła, Edyta Bauer
Software Mentions: 12
Published: about 4 years ago
10.3390/jpm10040214
Prediction of Mental Illness in Heart Disease Patients: Association of Comorbidities, Dietary Supplements, and Antibiotics as Risk Factors
Cited by: 3
Author(s): Jayanth Sivakumar, Saba Ahmed, Lina Begdache, Swati Jain, Daehan Won
Software Mentions: 9
Published: over 4 years ago
10.1007/s13755-020-00105-9
Predicting risk of stillbirth and preterm pregnancies with machine learning
Cited by: 43
Author(s): Aki Koivu, Mikko Sairanen
Software Mentions: 9
Published: over 5 years ago
10.1186/s40537-020-00369-8
CatBoost for big data: an interdisciplinary review
Cited by: 258
Author(s): John Hancock, Taghi M. Khoshgoftaar
Software Mentions: 6
Published: over 4 years ago
10.2196/27110
Prediction Model of Anastomotic Leakage Among Esophageal Cancer Patients After Receiving an Esophagectomy: Machine Learning Approach
Cited by: 3
Author(s): Ziran Zhao, Xi Cheng, Xiao Sun, Shanrui Ma, Hao Feng, Liang Zhao
Software Mentions: 5
Published: about 4 years ago
10.1177/2472555220949495
Changing the HTS Paradigm: AI-Driven Iterative Screening for Hit Finding
Cited by: 14
Author(s): Gabriel H S Dreiman, Magda Bictash, Paul V. Fish, Lewis D. Griffin, Fredrik Svensson
Software Mentions: 4
Published: over 4 years ago
10.1093/bioinformatics/btz887
Using deep learning to associate human genes with age-related diseases
Cited by: 9
Author(s): Fábio Fabris, Daniel H. Palmer, Khalid M. Salama, João Pedro de Magalhães, Alex A. Freitas
Software Mentions: 4
Published: over 5 years ago
10.1038/s41598-021-90063-3
Comparing quantile regression methods for probabilistic forecasting of NO2 pollution levels
Cited by: 7
Author(s): Sebastien Pérez Vasseur, José Luis Aznarte
Software Mentions: 3
Published: about 4 years ago
10.3389/fgene.2020.00655
Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning
Cited by: 12
Author(s): Guishan Zhang, Yiyun Deng, Qingyu Liu, Bingxu Ye, Zhiming Dai, Yaowen Chen, Xianhua Dai
Software Mentions: 2
Published: about 5 years ago
10.7717/peerj-cs.663
Solving musculoskeletal biomechanics with machine learning
Cited by: 6
Author(s): Yaroslav Smirnov, Denys Smirnov, Антон Попов, Sergiy Yakovenko
Software Mentions: 2
Published: almost 4 years ago