• UCI-ml

  • Referenced in 3224 articles [sw04074]
  • Irvine Machine Learning Repository. We currently maintain 251 data sets as a service ... machine learning community. You may view all data sets through our searchable interface ... site for the Repository. The UCI Machine Learning Repository is a collection of databases, domain ... generators that are used by the machine learning community for the empirical analysis of machine...
  • ElemStatLearn

  • Referenced in 1412 articles [sw11049]
  • from the book: ”The Elements of Statistical Learning, Data Mining, Inference, and Prediction” by Trevor...
  • PETSc

  • Referenced in 1252 articles [sw04012]
  • users it initially has a much steeper learning curve than a simple subroutine library...
  • LIBSVM

  • Referenced in 1151 articles [sw04879]
  • LIBSVM has gained wide popularity in machine learning and many other areas. In this article...
  • C4.5

  • Referenced in 1147 articles [sw12176]
  • C4.5: programs for machine learning. (C4.5 has been superseded by C5.0...
  • YALMIP

  • Referenced in 976 articles [sw04595]
  • entirely based on MATLAB code. Easy to learn : 3 new commands is all the user...
  • Scikit

  • Referenced in 479 articles [sw08058]
  • Scikit-learn: machine learning in python. Scikit-learn is a Python module integrating a wide ... range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised ... problems. This package focuses on bringing machine learning to non-specialists using a general-purpose...
  • AdaBoost.MH

  • Referenced in 478 articles [sw08517]
  • decision-theoretic generalization of on-line learning and an application to boosting. In the first ... considerably more general class of learning problems. We show how the resulting learning algorithm ... knowledge about the performance of the weak learning algorithm. We also study generalizations ... boosting algorithm to the problem of learning functions whose range, rather than being binary...
  • TensorFlow

  • Referenced in 465 articles [sw15170]
  • organization for the purposes of conducting machine learning and deep neural networks research...
  • glasso

  • Referenced in 435 articles [sw07432]
  • graphical lasso [5] is an algorithm for learning the structure in an undirected Gaussian graphical...
  • SVMlight

  • Referenced in 263 articles [sw04076]
  • regression, and for the problem of learning a ranking function. The optimization algorithms used ... this version is an algorithm for learning ranking functions [Joachims, 2002c]. The goal ... learn a function from preference examples, so that it orders a new set of objects...
  • ANFIS

  • Referenced in 274 articles [sw08730]
  • based fuzzy inference system. The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy ... adaptive networks. By using a hybrid learning procedure, the proposed ANFIS can construct an input...
  • GeoGebra

  • Referenced in 376 articles [sw04203]
  • powerful features. Authoring tool to create interactive learning materials as web pages. Available in many...
  • AlexNet

  • Referenced in 374 articles [sw38522]
  • animals. As a result, the network has learned rich feature representations for a wide range...
  • Visual Basic

  • Referenced in 302 articles [sw03518]
  • Visual Basic to be relatively easy to learn and use.[1][2] Visual Basic...
  • WEKA

  • Referenced in 292 articles [sw06435]
  • Knowledge Analysis. WEKA is a popular machine learning workbench with a development life of nearly...
  • PyTorch

  • Referenced in 291 articles [sw20939]
  • strong GPU acceleration. PyTorch is a deep learning framework that puts Python first...
  • darch

  • Referenced in 283 articles [sw11086]
  • method introduced by the publications ”A fast learning algorithm for deep belief nets...
  • Smalltalk

  • Referenced in 190 articles [sw01561]
  • educational use, more so for constructionist learning, at the Learning Research Group (LRG) of Xerox...
  • PMTK

  • Referenced in 189 articles [sw14689]
  • accompany Kevin Murphy’s textbook Machine learning: a probabilistic perspective, but can also be used ... unified conceptual and software framework encompassing machine learning, graphical models, and Bayesian statistics (hence...