• UCI-ml

  • Referenced in 3444 articles [sw04074]
  • community for the empirical analysis of machine learning algorithms. The archive was created ... world as a primary source of machine learning data sets. As an indication...
  • PRMLT

  • Referenced in 1221 articles [sw42125]
  • Learning Toolbox. This Matlab package implements machine learning algorithms described in the great textbook: Pattern...
  • Scikit

  • Referenced in 630 articles [sw08058]
  • range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised...
  • XGBoost

  • Referenced in 139 articles [sw21035]
  • efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost...
  • OpenCV

  • Referenced in 117 articles [sw11376]
  • open source computer vision and machine learning software library. OpenCV was built to provide ... applications and to accelerate the use of machine perception in the commercial products. Being ... library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic ... computer vision and machine learning algorithms. These algorithms can be used to detect and recognize...
  • SMAC

  • Referenced in 80 articles [sw27215]
  • both local search and tree search algorithms by orders of magnitude on certain instance distributions ... effective for the hyperparameter optimization of machine learning algorithms, scaling better to high dimensions...
  • Fashion-MNIST

  • Referenced in 49 articles [sw31842]
  • Novel Image Dataset for Benchmarking Machine Learning Algorithms. We present Fashion-MNIST, a new dataset ... original MNIST dataset for benchmarking machine learning algorithms, as it shares the same image size...
  • ReliefF

  • Referenced in 54 articles [sw33465]
  • ReliefF. Here we introduce the ReliefF machine learning algorithm and some of its extensions...
  • GPy

  • Referenced in 37 articles [sw14302]
  • Gaussian processes underpin range of modern machine learning algorithms. In GPy, we’ve used python ... implement a range of machine learning algorithms based on GPs. GPy is available under...
  • MOA

  • Referenced in 48 articles [sw11966]
  • blog). It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept...
  • Torch

  • Referenced in 41 articles [sw05407]
  • that you can add your own machine learning algorithms...
  • AntNet

  • Referenced in 65 articles [sw11975]
  • AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet ... coming from the telecommunications and machine learning fields. The algorithms’ performance is evaluated over...
  • Spark

  • Referenced in 41 articles [sw23653]
  • parallel operations. This includes many iterative machine learning algorithms, as well as interactive data analysis ... objects partitioned across a set of machines that can be rebuilt if a partition ... outperform Hadoop by 10x in iterative machine learning jobs, and can be used to interactively...
  • Pse-in-One

  • Referenced in 41 articles [sw22407]
  • vectors can be easily combined with machine-learning algorithms to develop computational predictors and analysis...
  • Statistics Toolbox

  • Referenced in 18 articles [sw10157]
  • Statistics Toolbox™ provides statistical and machine learning algorithms and tools for organizing, analyzing, and modeling ... analyzing multidimensional data, Statistics Toolbox includes algorithms that let you identify key variables that impact ... toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines (SVMs), boosted...
  • SVMlight

  • Referenced in 268 articles [sw04076]
  • implementation of Vapnik’s Support Vector Machine [Vapnik, 1995] for the problem of pattern recognition ... problem of learning a ranking function. The optimization algorithms used in SVMlight are described...
  • SimpleMKL

  • Referenced in 69 articles [sw12290]
  • support vector machine, an efficient and general multiple kernel learning algorithm, based on semi-infinite ... support vector machine code. However, it turns out that this iterative algorithm needs numerous iterations ... that encourages sparse kernel combinations. Apart from learning the combination, we solve a standard...
  • Hyperband

  • Referenced in 20 articles [sw41120]
  • approach to hyperparameter optimization. Performance of machine learning algorithms depends critically on identifying a good...
  • auto-sklearn

  • Referenced in 27 articles [sw33039]
  • learn machine learning library, auto-sklearn automatically searches for the right learning algorithm...
  • darch

  • Referenced in 321 articles [sw11086]
  • Package for deep architectures and Restricted-Bolzmann-Machines. The darch package is build ... introduced by the publications ”A fast learning algorithm for deep belief nets” (G. E. Hinton...