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Average Ratings 0 Ratings
Description
Flower is a federated learning framework that is open-source and aims to make the creation and implementation of machine learning models across distributed data sources more straightforward. By enabling the training of models on data stored on individual devices or servers without the need to transfer that data, it significantly boosts privacy and minimizes bandwidth consumption. The framework is compatible with an array of popular machine learning libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and XGBoost, and it works seamlessly with various cloud platforms including AWS, GCP, and Azure. Flower offers a high degree of flexibility with its customizable strategies and accommodates both horizontal and vertical federated learning configurations. Its architecture is designed for scalability, capable of managing experiments that involve tens of millions of clients effectively. Additionally, Flower incorporates features geared towards privacy preservation, such as differential privacy and secure aggregation, ensuring that sensitive data remains protected throughout the learning process. This comprehensive approach makes Flower a robust choice for organizations looking to leverage federated learning in their machine learning initiatives.
Description
Immerse yourself in the world of Flower Software, where you can meticulously catalog a variety of plants including daylilies, lilies, hostas, roses, irises, perennials, trees and shrubs, wildflowers, herbs, and vegetables. You can enhance each flower entry with multiple photographs and even assemble a slideshow featuring your top images. With access to a comprehensive library of over 87,000 daylilies, you can effortlessly add detailed descriptions, characteristics, hybridizer data, and more with a simple click. Additionally, a newly integrated Iris database boasts nearly 46,000 records, allowing for the same convenience in inserting vital information. The software also enables you to view and print detailed reports for every category, as well as generate a garden map specifically for your daylilies. You can compare daylilies in vibrant color to find the perfect match and create your own pollination crosses while monitoring your seedlings' progress. Moreover, you have the ability to share your favorite links with other Flower Software enthusiasts, alongside a variety of additional features such as a favorites slideshow, a fertilization schedule, a photo album, and a handy ToDo list for all your gardening tasks. This extensive array of tools and resources ensures that you can manage and celebrate your garden like never before.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
Yes
Android
Yes
Apple iOS
Yes
Docker
Yes
Google Cloud Platform
Yes
Hardskills
Yes
Hugging Face
Yes
JAX
Yes
Keras
Yes
MXNet
Yes
Integrations
Amazon Web Services (AWS)
No
Android
No
Apple iOS
No
Docker
No
Google Cloud Platform
No
Hardskills
No
Hugging Face
No
JAX
No
Keras
No
MXNet
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$49.95 one-time payment
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Flower
Founded
2023
Country
Germany
Website
flower.ai/
Vendor Details
Company Name
Rocket Computer Services
Country
United States
Website
www.plantstep.com
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Product Features
Garden Center
Billing & Invoicing
Yes
Customer Management
No
Inventory Management
No
Purchase Order Management
No
Returns Management
No