Flower scikit-image

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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.
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.
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
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
Flower:

Audience

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

Audience

Developers and professionals requiring a free solution offering algorithms for their image processing projects
Flower:

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported
scikit-image:

Support

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

API

Offers API Not Supported
scikit-image:

API

Offers API Supported
Flower:

Screenshots and Videos

scikit-image:

Screenshots and Videos

Flower:

Pricing

Free
Free Version Supported
Free Trial Not Supported
scikit-image:

Pricing

Free
Free Version Supported
Free Trial Not Supported
Flower:

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
scikit-image:

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
Flower:

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported
scikit-image:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Flower:

Company Information

Flower
Founded: 2023
Germany
flower.ai/
scikit-image:

Company Information

scikit-image
United States
scikit-image.org
Flower:

Alternatives

scikit-image:

Alternatives

Flower:
Keepsake

Keepsake

Replicate
scikit-image:
Flower:
scikit-image:
Flower:
scikit-image:
Flower:
scikit-image:
Flower:

Categories

scikit-image:

Categories

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
Label Studio Not Supported
MLReef Not Supported
MXNet Supported
Microsoft Azure Supported
NVIDIA Jetson Supported
PyTorch Supported
Raspberry Pi OS Supported
TensorFlow Supported
pandas Supported
scikit-learn Supported
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
Label Studio Supported
MLReef Supported
MXNet Not Supported
Microsoft Azure Not Supported
NVIDIA Jetson Not Supported
PyTorch Not Supported
Raspberry Pi OS Not Supported
TensorFlow Not Supported
pandas Not Supported
scikit-learn Not Supported
Flower:
Claim Flower and update features and information
Claim Flower and update features and information
scikit-image:
Claim scikit-image and update features and information
Claim scikit-image and update features and information