• 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...