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

Flower is an open source federated learning framework designed to simplify the development and deployment of machine learning models across decentralized data sources. It enables training on data located on devices or servers without transferring the data itself, thereby enhancing privacy and reducing bandwidth usage. Flower supports a wide range of machine learning frameworks, including PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and XGBoost, and is compatible with various platforms and cloud services like AWS, GCP, and Azure. It offers flexibility through customizable strategies and supports both horizontal and vertical federated learning scenarios. Flower's architecture allows for scalable experiments, with the capability to handle workloads involving tens of millions of clients. It also provides built-in support for privacy-preserving techniques like differential privacy and secure aggregation.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Organizations that need an advanced Quantum Computing solution

Audience

Machine learning practitioners and researchers in search of a tool to implement privacy-preserving, decentralized model training across diverse devices and platforms

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Company Information

Quantum Programming Studio
artiste-qb.net/bayesforge/

Company Information

Flower
Founded: 2023
Germany
flower.ai/

Alternatives

Superstaq

Superstaq

Infleqtion

Alternatives

Azure Quantum

Azure Quantum

Microsoft
Keepsake

Keepsake

Replicate
QX Simulator

QX Simulator

Quantum Computing Simulation
LIQUi|>

LIQUi|>

Microsoft

Categories

Quantum Computing Supported

Categories

Integrations

PyTorch Supported
Python Supported
TensorFlow Supported
Amazon Web Services (AWS) Not Supported
Android Not Supported
D-Wave Supported
Docker Not Supported
Google Cirq Supported
Google Cloud Platform Not Supported
Hardskills Not Supported
Hugging Face Not Supported
IBM Quantum Supported
JAX Not Supported
Keras Not Supported
Microsoft Azure Not Supported
NumPy Not Supported
Octave Supported
Rigetti Quantum Cloud Services (QCS) Supported
pandas Not Supported
scikit-learn Not Supported

Integrations

PyTorch Supported
Python Supported
TensorFlow Supported
Amazon Web Services (AWS) Supported
Android Supported
D-Wave Not Supported
Docker Supported
Google Cirq Not Supported
Google Cloud Platform Supported
Hardskills Supported
Hugging Face Supported
IBM Quantum Not Supported
JAX Supported
Keras Supported
Microsoft Azure Supported
NumPy Supported
Octave Not Supported
Rigetti Quantum Cloud Services (QCS) Not Supported
pandas Supported
scikit-learn Supported
Claim Bayesforge and update features and information
Claim Bayesforge and update features and information
Claim Flower and update features and information
Claim Flower and update features and information