• TensorFlow

  • Referenced in 629 articles [sw15170]
  • TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes ... mobile device with a single API. TensorFlow was originally developed by researchers and engineers working...
  • Keras

  • Referenced in 204 articles [sw15491]
  • Keras: Deep Learning library for Theano and TensorFlow. Keras is a minimalist, highly modular neural ... capable of running on top of either TensorFlow or Theano. It was developed with...
  • GPflow

  • Referenced in 25 articles [sw21518]
  • GPflow: a Gaussian process library using tensorflow. GPflow is a Gaussian process library that uses ... TensorFlow for its core computations and Python for its front end. The distinguishing features...
  • Transformers

  • Referenced in 21 articles [sw30739]
  • languages and deep interoperability between TensorFlow 2.0 and PyTorch...
  • M-Theory

  • Referenced in 12 articles [sw34680]
  • Theory Research: TensorFlow-based code to address some research problems in M-Theory / Superstring Theory ... examples (for learning or otherwise), Google’s TensorFlow Machine Learning technology is sufficiently generic...
  • CoCalc

  • Referenced in 14 articles [sw23626]
  • Science: R Project, Pandas, Statsmodels, Scikit-Learn, TensorFlow, NLTK, …; Document authoring: LaTeX, Markdown/HTML, ... General purpose...
  • RLlib

  • Referenced in 9 articles [sw31153]
  • variety of applications. RLlib natively supports TensorFlow, TensorFlow Eager, and PyTorch, but most...
  • TensorLy

  • Referenced in 12 articles [sw27020]
  • seamlessly perform computation with NumPy, MXNet, PyTorch, TensorFlow or CuPy, and run methods at scale...
  • geomstats

  • Referenced in 11 articles [sw24373]
  • with different computing backends such as numpy, tensorflow and keras. We have enabled GPU implementation...
  • SciANN

  • Referenced in 10 articles [sw38344]
  • uses the widely used deep-learning packages TensorFlow and Keras to build deep neural networks...
  • Horovod

  • Referenced in 5 articles [sw28748]
  • fast and easy distributed deep learning in TensorFlow. Training modern deep learning models requires large ... enabling multi-GPU training under the TensorFlow library entail non-negligible communication overhead and require ... code, enabling faster, easier distributed training in TensorFlow. Horovod is available under the Apache...
  • tensorflow

  • Referenced in 4 articles [sw21516]
  • package tensorflow: R Interface to ’TensorFlow’. Interface to ’TensorFlow, an open source software ... mobile device with a single ’API’. ’TensorFlow’ was originally developed by researchers and engineers working...
  • Dopamine

  • Referenced in 8 articles [sw31151]
  • that diversity. Dopamine is open-source, TensorFlow-based, and provides compact and reliable implementations...
  • Tensorforce

  • Referenced in 4 articles [sw31158]
  • Tensorforce: a TensorFlow library for applied reinforcement learning. Tensorforce is an open-source deep reinforcement ... built on top of Google’s TensorFlow framework and compatible with Python 3 (Python ... interaction with the application environment. Full-on TensorFlow models: The entire reinforcement learning logic, including ... control flow, is implemented in TensorFlow, to enable portable computation graphs independent of application programming...
  • Strawberry Fields

  • Referenced in 7 articles [sw27772]
  • quantum computer backends, built in NumPy and Tensorflow, each targeting specialized uses...
  • Transformer-XL

  • Referenced in 7 articles [sw36208]
  • models, and hyperparameters are available in both Tensorflow and PyTorch...
  • Marabou

  • Referenced in 6 articles [sw31368]
  • protocol buffer files generated by the popular TensorFlow framework for neural networks. We describe...
  • TensorLog

  • Referenced in 6 articles [sw32913]
  • neural-network infrastructure such as Tensorflow or Theano. This leads to a close integration...
  • t3f

  • Referenced in 4 articles [sw32795]
  • Tensor Train decomposition built on top of TensorFlow. t3f is a library for working with ... tensors. t3f is implemented on top of TensorFlow which gives it a few nice properties...
  • GPflowOpt

  • Referenced in 4 articles [sw33396]
  • GPflowOpt: A Bayesian Optimization Library using TensorFlow. A novel Python framework for Bayesian optimization known ... Gaussian processes, leveraging the benefits of TensorFlow including automatic differentiation, parallelization and GPU computations...