• SMAC

  • Referenced in 61 articles [sw27215]
  • effective for the hyperparameter optimization of machine learning algorithms, scaling better to high dimensions...
  • mlbench

  • Referenced in 42 articles [sw08134]
  • package mlbench: Machine Learning Benchmark Problems. A collection of artificial and real-world machine learning...
  • HOGWILD

  • Referenced in 59 articles [sw28396]
  • performance on a variety of machine learning tasks. Several researchers have recently proposed schemes...
  • MLC++

  • Referenced in 41 articles [sw13539]
  • machine learning library in C++. We present MLC++, a library of C++ classes and tools ... supervised machine learning. While MLC++ provides general learning algorithms that can be used...
  • Torch

  • Referenced in 39 articles [sw05407]
  • Torch is a machine learning library written in C++ that works on most Unix/Linux platforms ... that you can add your own machine learning algorithms...
  • Spark

  • Referenced in 38 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...
  • Camera Calibration

  • Referenced in 53 articles [sw13537]
  • point cloud processing. With machine learning based frameworks, you can train object detection, object recognition...
  • ReliefF

  • Referenced in 51 articles [sw33465]
  • ReliefF. Here we introduce the ReliefF machine learning algorithm and some of its extensions...
  • CMAR

  • Referenced in 50 articles [sw28406]
  • databases from the UCI machine learning database repository show that CMAR is consistent, highly effective...
  • GPy

  • Referenced in 30 articles [sw14302]
  • written in python, from the Sheffield machine learning group. Gaussian processes underpin range of modern ... machine learning algorithms. In GPy, we’ve used python to implement a range of machine...
  • Apache Spark

  • Referenced in 47 articles [sw28418]
  • DataFrames, MLlib for machine learning, GraphX for graph processing, and Spark Streaming for stream processing...
  • DiffSharp

  • Referenced in 45 articles [sw16033]
  • Pearlmutter mainly for research applications in machine learning, as part of their work...
  • mlr

  • Referenced in 31 articles [sw12357]
  • Machine Learning in R. Interface to a large number of classification and regression techniques, including ... machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering ... general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter ... learners with additional operations common in machine learning, also allowing for easy nested resampling. Most...
  • Daikon

  • Referenced in 43 articles [sw04319]
  • executions. Dynamic invariant detection is a machine learning technique that can be applied to arbitrary...
  • MOA

  • Referenced in 42 articles [sw11966]
  • blog). It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept...
  • Pse-in-One

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

  • Referenced in 22 articles [sw33039]
  • provides out-of-the-box supervised machine learning. Built around the scikit-learn machine learning ... right learning algorithm for a new machine learning dataset and optimizes its hyperparameters. Thus ... frees the machine learning practitioner from these tedious tasks and allows her to focus...
  • Fashion-MNIST

  • Referenced in 29 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...
  • MLlib

  • Referenced in 22 articles [sw15430]
  • MLlib: machine learning in apache spark. Apache Spark is a popular open-source platform ... that is well-suited for iterative machine learning tasks. In this paper we present MLlib ... Spark’s open-source distributed machine learning library. MLlib provides efficient functionality for a wide ... development of end-to-end machine learning pipelines. MLlib has experienced a rapid growth...
  • GPML

  • Referenced in 38 articles [sw12890]
  • Gaussian processes for machine learning (GPML) toolbox. The GPML toolbox provides a wide range...