• Scikit

  • Referenced in 611 articles [sw08058]
  • state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This...
  • MLC++

  • Referenced in 41 articles [sw13539]
  • machine learning library in C++. We present MLC++, a library ... classes and tools for supervised machine learning. While MLC++ provides general learning algorithms that...
  • auto-sklearn

  • Referenced in 27 articles [sw33039]
  • sklearn provides out-of-the-box supervised machine learning. Built around the scikit-learn machine...
  • SimpleMKL

  • Referenced in 69 articles [sw12290]
  • associated predictor in supervised learning settings. For the support vector machine, an efficient and general...
  • Tunability

  • Referenced in 9 articles [sw42100]
  • hyperparameters of machine learning algorithms. Modern supervised machine learning algorithms involve hyperparameters that have...
  • SVMstruct

  • Referenced in 31 articles [sw04075]
  • Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning...
  • Statistics Toolbox

  • Referenced in 18 articles [sw10157]
  • Statistics Toolbox™ provides statistical and machine learning algorithms and tools for organizing, analyzing, and modeling ... squares regression. The toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines...
  • Spider

  • Referenced in 8 articles [sw10713]
  • spider - machine learning toolbox for Matlab. It’s a library of objects in Matlab ... reasonably) large unsupervised, supervised or semi-supervised machine learning problems. Aims to become a complete...
  • ALiPy

  • Referenced in 4 articles [sw33954]
  • ALiPy: Active Learning in Python. Supervised machine learning methods usually require a large...
  • quanteda

  • Referenced in 9 articles [sw30853]
  • distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text...
  • ParsCit

  • Referenced in 3 articles [sw30479]
  • documents. It is architected as a supervised machine learning procedure that uses Conditional Random Fields...
  • GemIdent

  • Referenced in 3 articles [sw12192]
  • identification engine employs the latest supervised machine learning algorithms. The concept was inspired by data...
  • TPOT

  • Referenced in 11 articles [sw18808]
  • machine learning models with the goal of maximizing classi cation accuracy on a supervised classi ... supervised classi cation tasks and nd that it signi cantly outperforms a basic machine learning...
  • ORE

  • Referenced in 2 articles [sw24975]
  • methods in ontology debugging and supervised machine learning form the basis ... extend an ontology through (semi-)automatic supervised learning. A wizard-like process helps the user...
  • D2C

  • Referenced in 2 articles [sw14323]
  • inference. The D2C package implements a supervised machine learning approach to infer the existence...
  • TargetSpy

  • Referenced in 2 articles [sw29586]
  • TargetSpy: a supervised machine learning approach for microRNA target prediction. Results: We developed TargetSpy...
  • SentiBench

  • Referenced in 2 articles [sw39064]
  • measuring sentiments, including lexical-based and supervised machine learning methods. Despite the vast interest...
  • DeepPINK

  • Referenced in 3 articles [sw42244]
  • become increasingly popular in both supervised and unsupervised machine learning thanks to its outstanding empirical...
  • AmpliGraph

  • Referenced in 5 articles [sw30610]
  • Learning, a branch of machine learning that deals with supervised learning on knowledge graphs...
  • PCP

  • Referenced in 3 articles [sw30033]
  • program for supervised classification of gene expression profiles. Summary: PCP (Pattern Classification ... Program) is an open-source machine learning program for supervised classification of patterns (vectors ... selection (optimization of parameters) for support vector machine (SVM) classifier. The distribution includes Linux...