Bayesforge

Bayesforge

Quantum Programming Studio
+
+

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About

Bayesforge™ is a Linux machine image that curates the very best open source software for the data scientist who needs advanced analytical tools, as well as for quantum computing and computational mathematics practitioners who seek to work with one of the major QC frameworks. The image combines common machine learning frameworks, such as PyTorch and TensorFlow, with open source software from D-Wave, Rigetti as well as the IBM Quantum Experience and Google's new quantum computing language Cirq, as well as other advanced QC frameworks. For instance our quantum fog modeling framework, and our quantum compiler Qubiter which can cross-compile to all major architectures. All software is made accessible through the Jupyter WebUI which, due to its modular architecture, allows the user to code in Python, R, and Octave.

About

TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorial and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, metrics. Full transparency over Tensorflow. All functions are built over tensors and can be used independently of TFLearn. Powerful helper functions to train any TensorFlow graph, with support of multiple inputs, outputs, and optimizers. Easy and beautiful graph visualization, with details about weights, gradients, activations and more. The high-level API currently supports most of the recent deep learning models, such as Convolutions, LSTM, BiRNN, BatchNorm, PReLU, Residual networks, Generative networks.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations that need an advanced Quantum Computing solution

Audience

Researchers and developers looking for a modular and transparent deep learning library to facilitate their experimentations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Quantum Programming Studio
artiste-qb.net/bayesforge/

Company Information

TFLearn
tflearn.org

Alternatives

Superstaq

Superstaq

Infleqtion

Alternatives

Azure Quantum

Azure Quantum

Microsoft
TF-Agents

TF-Agents

Tensorflow
QX Simulator

QX Simulator

Quantum Computing Simulation
TensorBoard

TensorBoard

Tensorflow

Categories

Categories

Integrations

TensorFlow
AWS Marketplace
D-Wave
Google Cirq
IBM Quantum
Octave
PyTorch
Python
R
Rigetti Quantum Cloud Services (QCS)

Integrations

TensorFlow
AWS Marketplace
D-Wave
Google Cirq
IBM Quantum
Octave
PyTorch
Python
R
Rigetti Quantum Cloud Services (QCS)
Claim Bayesforge and update features and information
Claim Bayesforge and update features and information
Claim TFLearn and update features and information
Claim TFLearn and update features and information