• AK-MCS

  • Referenced in 72 articles [sw18303]
  • active learning reliability method combining Kriging and Monte Carlo Simulation. An important challenge in structural ... prediction which can be used in active learning methods. The aim of this paper ... method is called AK-MCS for Active learning reliability method combining Kriging and Monte Carlo...
  • LIBSVM

  • Referenced in 1204 articles [sw04879]
  • Support Vector Machines (SVMs). We have been actively developing this package since the year ... LIBSVM has gained wide popularity in machine learning and many other areas. In this article...
  • Duali

  • Referenced in 26 articles [sw01245]
  • tool for work with deterministic and passive learning stochastic models. In contrast, Dualpc is primarily ... well as both passive and active learning stochastic control models. Models developed in Duali ... first as deterministic and then as passive learning stochastic models can be exported ... solution as either passive or active learning stochastic control models in the Dualpc software...
  • Tensor2Tensor

  • Referenced in 100 articles [sw26507]
  • make deep learning more accessible and accelerate ML research. T2T is actively used and maintained...
  • Smalltalk

  • Referenced in 190 articles [sw01561]
  • more so for constructionist learning, at the Learning Research Group (LRG) of Xerox PARC ... Smalltalk-like languages are in continuing active development and have gathered loyal communities of users...
  • DualPC

  • Referenced in 10 articles [sw08479]
  • graphical interface for deterministic, passive and active learning stochastic models as well as solvers...
  • ALiPy

  • Referenced in 4 articles [sw33954]
  • ALiPy: Active Learning in Python. Supervised machine learning methods usually require a large ... acquisition of labels is costly. Active learning (AL) reduces the labeling cost by iteratively selecting ... introduces a Python toobox ALiPy for active learning. ALiPy provides a module based implementation ... active learning framework, which allows users to conveniently evaluate, compare and analyze the performance...
  • JCLAL

  • Referenced in 4 articles [sw16453]
  • JCLAL: a Java framework for active learning. Active Learning has become an important area ... Java Class Library for Active Learning which has an architecture that follows strong principles ... library offers a variety of active learning methods that have been proposed in the literature...
  • MOA

  • Referenced in 48 articles [sw11966]
  • very active growing community (blog). It includes a collection of machine learning algorithms (classification, regression...
  • libact

  • Referenced in 4 articles [sw21839]
  • libact: Pool-based Active Learning in Python. libact is a Python package designed to make ... active learning easier for general users. The package not only implements several popular active learning ... strategies, but also features the active-learning-by-learning meta-algorithm that assists the users...
  • Geometer's Sketchpad

  • Referenced in 228 articles [sw04858]
  • through college—a tangible, visual way to learn mathematics that increases their engagement, understanding ... illustrate and illuminate mathematical ideas. Classroom-tested activities are accompanied by presentation sketches and detailed...
  • RALF

  • Referenced in 4 articles [sw33955]
  • RALF - Reinforced Active Learning Formulation. RALF is the framework used in [1] and part ... image collections. This framework combines active learning and reinforcement learning to enable a time-varying...
  • modAL

  • Referenced in 3 articles [sw27051]
  • modAL: A modular active learning framework for Python. modAL is a modular active learning framework ... Python, aimed to make active learning research and practice simpler. Its distinguishing features ... oriented design (ii) full compatibility with scikit-learn models and workflows. These features make fast ... aiding the development of real-life active learning pipelines and novel algorithms as well. modAL...
  • DeCAF

  • Referenced in 28 articles [sw17856]
  • open-source implementation of these deep convolutional activation features, along with all associated network parameters ... representations across a range of visual concept learning paradigms...
  • Cabri-geometry

  • Referenced in 114 articles [sw04928]
  • Cabri-geometry is a software for learning geometry mainly at school. Now Cabri software ... various usages of Cabri-geometry and research activities by DIAM team of Laboratoire d’Informatique...
  • BatchBALD

  • Referenced in 3 articles [sw33573]
  • Diverse Batch Acquisition for Deep Bayesian Active Learning. We develop BatchBALD, a tractable approximation ... task of deep Bayesian active learning. BatchBALD is a greedy linear-time 1−1e-approximate...
  • MINDFUL

  • Referenced in 4 articles [sw08865]
  • knowledge is gathered during the meta-learning activity and it is exploited to suggest parametrisation...
  • MyMathLab

  • Referenced in 4 articles [sw06737]
  • universities. MyMathLab engages students in active learning—it’s modular, self-paced, accessible anywhere with...
  • scikit-activeml

  • Referenced in 2 articles [sw42232]
  • scikit-activeml: Machine learning applications often need large amounts of training data to perform well ... consuming, or expensive in most applications. Active learning can help solve this problem by querying ... most. Thereby, the goal is that the learning algorithm performs sufficiently well with fewer labels ... developed as a Python module for active learning on top of scikit-learn. The project...
  • ETPS

  • Referenced in 161 articles [sw06302]
  • software verification, partial automation of various mathematical activities, promoting development of formal theories ... number of years. Students generally learn to use ETPS fairly quickly just by reading ... displaying only those parts of proofs under active consideration, saving incomplete proofs, and printing proofs...