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
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

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
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

Free
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

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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

Flower
Founded: 2023
Germany
flower.ai/

Alternatives

Azure Quantum

Azure Quantum

Microsoft

Alternatives

Superstaq

Superstaq

Infleqtion
Keepsake

Keepsake

Replicate
QX Simulator

QX Simulator

Quantum Computing Simulation
LIQUi|>

LIQUi|>

Microsoft

Categories

Categories

Integrations

PyTorch
Python
TensorFlow
AWS Marketplace
Amazon Web Services (AWS)
Android
Apple iOS
Docker
Google Cloud Platform
Hardskills
IBM Quantum
JAX
Keras
MXNet
NVIDIA Jetson
NumPy
R
Raspberry Pi OS
Rigetti Quantum Cloud Services (QCS)
scikit-learn

Integrations

PyTorch
Python
TensorFlow
AWS Marketplace
Amazon Web Services (AWS)
Android
Apple iOS
Docker
Google Cloud Platform
Hardskills
IBM Quantum
JAX
Keras
MXNet
NVIDIA Jetson
NumPy
R
Raspberry Pi OS
Rigetti Quantum Cloud Services (QCS)
scikit-learn
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