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Related Products
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Flower:
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.
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scikit-image:
About
scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. Conceptually identical arguments have the same name and position in a function signature. Test coverage is close to 100% and code is reviewed by at least two core developers before being included in the library.
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Flower:
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
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scikit-image:
Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Flower:
Audience
Machine learning practitioners and researchers in search of a tool to implement privacy-preserving, decentralized model training across diverse devices and platforms
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scikit-image:
Audience
Developers and professionals requiring a free solution offering algorithms for their image processing projects
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Flower:
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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scikit-image:
Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Flower:
API
Offers API
Not Supported
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scikit-image:
API
Offers API
Supported
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Flower:
Screenshots and Videos |
scikit-image:
Screenshots and Videos |
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Flower:
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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scikit-image:
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Flower:
Reviews/
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scikit-image:
Reviews/
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Flower:
Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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scikit-image:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Flower:
Company InformationFlower
Founded: 2023
Germany
flower.ai/
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scikit-image:
Company Informationscikit-image
United States
scikit-image.org
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Flower:
Alternatives |
scikit-image:
Alternatives |
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Flower:
Categories |
scikit-image:
Categories |
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Flower:
Integrations
Python
Supported
Akira AI
Not Supported
Amazon Web Services (AWS)
Supported
Android
Supported
Apple iOS
Supported
Cython
Not Supported
Docker
Supported
Google Cloud Platform
Supported
Hardskills
Supported
JAX
Supported
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scikit-image:
Integrations
Python
Supported
Akira AI
Supported
Amazon Web Services (AWS)
Not Supported
Android
Not Supported
Apple iOS
Not Supported
Cython
Supported
Docker
Not Supported
Google Cloud Platform
Not Supported
Hardskills
Not Supported
JAX
Not Supported
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Flower:
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scikit-image:
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