• Keras

  • Referenced in 85 articles [sw15491]
  • Keras: Deep Learning library for Theano and TensorFlow. Keras is a minimalist, highly modular neural ... doing good research. Use Keras if you need a deep learning library that: allows ... Read the documentation at Keras.io. Keras is compatible with: Python...
  • keras

  • Referenced in 5 articles [sw22353]
  • package keras: R Interface to ’Keras’. Interface to ’Keras, a high-level neural ... networks ’API’. ’Keras’ was developed with a focus on enabling fast experimentation, supports both convolution...
  • keras-rl

  • Referenced in 2 articles [sw35087]
  • keras-rl implements some state-of-the art deep reinforcement learning algorithms in Python ... seamlessly integrates with the deep learning library Keras...
  • geomstats

  • Referenced in 2 articles [sw24373]
  • computing backends such as numpy, tensorflow and keras. We have enabled GPU implementation and integrated ... geomstats manifold computations into keras deep learning framework. This paper also presents a review...
  • AutoKeras

  • Referenced in 2 articles [sw33648]
  • Auto-Keras: An Efficient Neural Architecture Search System. Neural architecture search (NAS) has been proposed ... system based on our method, namely Auto-Keras. The system runs in parallel...
  • keras-vis

  • Referenced in 1 article [sw34737]
  • keras-vis: Keras visualization toolkit. keras-vis is a high-level toolkit for visualizing ... debugging your trained keras neural net models. Currently supported visualizations include: Activation maximization; Saliency maps...
  • Keras-GAN

  • Referenced in 1 article [sw32552]
  • Keras-GAN: Collection of Keras implementations of Generative Adversarial Networks (GANs) suggested in research papers...
  • Foolbox

  • Referenced in 2 articles [sw20935]
  • popular deep learning frameworks such as PyTorch, Keras, TensorFlow, Theano and MXNet, provides a straight...
  • DeepTrade_keras

  • Referenced in 1 article [sw34679]
  • DeepTrade - keras version. Could deep learning help us with buying and selling stocks in market...
  • Comet.ml

  • Referenced in 1 article [sw27031]
  • hyper parameters, metrics, code, stdout tracking. Supports Keras, Tensorflow, PyTorch, scikit-learn...
  • MLaut

  • Referenced in 1 article [sw27171]
  • interfaces to the scikit-learn and keras modelling libraries. Experiments are easy...
  • DeepArchitect

  • Referenced in 1 article [sw31717]
  • framework. Currently, we support Tensorflow, Keras, and PyTorch. See here for minimal complete examples...
  • DALEXtra

  • Referenced in 1 article [sw35212]
  • those created using ’python’ ’scikit-learn’ and ’keras’ libraries, and ’java’ ’h2o’ library. Important part...
  • Theano-MPI

  • Referenced in 0 articles [sw15169]
  • built in different framework libraries, e.g., Lasagne, Keras, Blocks, as long as its model parameters...
  • Matlab

  • Referenced in 11784 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • R

  • Referenced in 7904 articles [sw00771]
  • R is a language and environment for statistical...
  • forecast

  • Referenced in 99 articles [sw04505]
  • R package forecast: Forecasting functions for time series...
  • tseries

  • Referenced in 30 articles [sw04509]
  • R package tseries: Time series analysis and computational...
  • fda (R)

  • Referenced in 1249 articles [sw04511]
  • fda: Functional Data Analysis , These functions were developed...