Average Ratings 0 Ratings
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
API Access
Has API
Integrations
Amazon Web Services (AWS)
Android
Apple iOS
Docker
Google Cloud Platform
Hugging Face
JAX
Keras
MXNet
Microsoft Azure
Integrations
Amazon Web Services (AWS)
Android
Apple iOS
Docker
Google Cloud Platform
Hugging Face
JAX
Keras
MXNet
Microsoft Azure
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$49.95 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Product Features
Garden Center
Billing & Invoicing
Customer Management
Inventory Management
Purchase Order Management
Returns Management