• Adam

  • Referenced in 737 articles [sw22205]
  • algorithm for first-order gradient-based optimization of stochastic objective functions, based on adaptive estimates ... large in terms of data and/or parameters. The method is also appropriate for non-stationary ... very noisy and/or sparse gradients. The hyper-parameters have intuitive interpretations and typically require little ... best known results under the online convex optimization framework. Empirical results demonstrate that Adam works...
  • Hyperopt

  • Referenced in 42 articles [sw19219]
  • hyperopt: Distributed Asynchronous Hyper-parameter Optimization. Hyperopt is a Python library for serial and parallel...
  • PyKEEN

  • Referenced in 3 articles [sw34084]
  • through the integration of Optuna extensive hyper-parameter optimization (HPO) functionalities are provided...
  • PocketFlow

  • Referenced in 1 article [sw36239]
  • hyper-parameter optimization module to automatically search for the optimal combination of hyper-parameters. Furthermore...
  • DriveML

  • Referenced in 1 article [sw32864]
  • automated methods for model selection and hyper-parameter optimization of various algorithms such as random...
  • AutoGL

  • Referenced in 1 article [sw38082]
  • horizon to automatically design the optimal machine learning algorithm for a given graph task. However ... modules: auto feature engineering, model training, hyper-parameter optimization, and auto ensemble. For each module...
  • r_ml_stata

  • Referenced in 1 article [sw38736]
  • neighbor, support vector machine. It provides hyper-parametersoptimal tuning via K-fold cross-validation...
  • c_ml_stata

  • Referenced in 1 article [sw38737]
  • neighbor, support vector machine. It provides hyper-parametersoptimal tuning via K-fold cross-validation...
  • DeepDIVA

  • Referenced in 1 article [sw27025]
  • boilerplate code, keeping track of experiments, hyper-parameter optimization, and visualization of data and results...
  • Anomalib

  • Referenced in 1 article [sw41238]
  • tools, including experiment trackers, visualizers, and hyper-parameter optimizers, make it simple to design...
  • EMBER

  • Referenced in 1 article [sw38336]
  • detection. Results show that even without hyper-parameter optimization, the baseline EMBER model outperforms MalConv...
  • GSVM

  • Referenced in 3 articles [sw41785]
  • original optimization problem for SVM training, nor introduces new hyper-parameters. Experimentation carried...
  • krisp

  • Referenced in 1 article [sw14717]
  • also known as Gaussian process regression) and optimization of deterministic simulators. The toolbox consists ... kernels, hyper-parameter estimation, prediction, cross validation). 2. methods implementing Expected Improvement based optimization...
  • PyODDS

  • Referenced in 3 articles [sw38163]
  • database setup, algorithm selection, and hyper-parameter tuning. To fill this gap, we present PyODDS ... Outlier Detection with Database Support, which automatically optimizes an outlier detection pipeline...
  • LargeVis

  • Referenced in 6 articles [sw34905]
  • objective of which can be effectively optimized through asynchronous stochastic gradient descent with a linear ... both efficiency and effectiveness. The hyper-parameters of LargeVis are also much more stable over...
  • Hyperas

  • Referenced in 0 articles [sw38947]
  • very simple wrapper for convenient hyperparameter optimization. A very simple convenience wrapper around hyperopt ... simple template notation to define hyper-parameter ranges to tune...
  • AlphaClean

  • Referenced in 1 article [sw37879]
  • data cleaning is very different than hyper-parameter tuning for machine learning since the pipeline ... proposes a framework, called AlphaClean, that rethinks parameter tuning for data cleaning pipelines. AlphaClean provides ... allows AlphaClean to apply a number of optimizations including incremental evaluation of the quality measures...
  • Matlab

  • Referenced in 13460 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • MiniSat

  • Referenced in 565 articles [sw00577]
  • An extensible SAT-solver. MiniSat is a minimalistic...
  • Paramils

  • Referenced in 86 articles [sw00678]
  • Paramils: an automatic algorithm configuration framework. The identification...