• TensorFlow

  • Referenced in 271 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 89 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 12 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...
  • RLlib

  • Referenced in 5 articles [sw31153]
  • variety of applications. RLlib natively supports TensorFlow, TensorFlow Eager, and PyTorch, but most...
  • CoCalc

  • Referenced in 6 articles [sw23626]
  • Science: R Project, Pandas, Statsmodels, Scikit-Learn, TensorFlow, NLTK, …; Document authoring: LaTeX, Markdown/HTML, ... General purpose...
  • AutoGraph

  • Referenced in 3 articles [sw30957]
  • mobile settings. Graph-based libraries like TensorFlow and Theano benefit from whole-program optimization ... that improves the programming experience of the TensorFlow library, and demonstrate usability improvements with ... loss in performance compared to native TensorFlow graphs. We also show that our system ... alternate IR with characteristics not found in TensorFlow graphs...
  • Tensorforce

  • Referenced in 3 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...
  • M-Theory

  • Referenced in 3 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...
  • Tangent

  • Referenced in 4 articles [sw22076]
  • packages popular in machine learning, such as TensorFlow and Autograd. Advantages are that Tangent generates...
  • TensorLy

  • Referenced in 4 articles [sw27020]
  • seamlessly perform computation with NumPy, MXNet, PyTorch, TensorFlow or CuPy, and run methods at scale...
  • Strawberry Fields

  • Referenced in 4 articles [sw27772]
  • quantum computer backends, built in NumPy and Tensorflow, each targeting specialized uses...
  • Transformers

  • Referenced in 4 articles [sw30739]
  • languages and deep interoperability between TensorFlow 2.0 and PyTorch...
  • Dopamine

  • Referenced in 4 articles [sw31151]
  • that diversity. Dopamine is open-source, TensorFlow-based, and provides compact and reliable implementations...
  • Neural Monkey

  • Referenced in 2 articles [sw26583]
  • Neural Monkey: Neural Sequence Learning Using TensorFlow. The Neural Monkey package provides a higher level ... Language Processing (NLP). It is built on TensorFlow. It can be used for fast prototyping ... adding new building blocks implemented directly in TensorFlow...
  • Horovod

  • Referenced in 2 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...
  • t3f

  • Referenced in 2 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 2 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...
  • DeepTracker

  • Referenced in 3 articles [sw25889]
  • However, current popular training platforms, such as TensorFlow, only provide very little and general information...
  • Seq2Seq

  • Referenced in 3 articles [sw26506]
  • general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text...
  • TensorFlow.js

  • Referenced in 3 articles [sw27137]
  • environment. The library is part of the TensorFlow ecosystem, providing a set of APIs that...