ModellerParagon Business Solutions
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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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About
Over thirty years of credit risk modelling expertise wrapped into model building software for today’s age of machine learning. Modeller is a feature-rich, flexible, interactive and transparent tool that helps organizations get the best from their analytical teams. It supports a choice of techniques, the rapid development of powerful models, full explainability and the advancement of less experienced team members.
Choose from numerous modeling techniques, including machine learning, for optimal predictive accuracy – especially on datasets with multicollinearity and complex interrelationships. Create industry-standard continuous and binary target models at the click of a button. Use decision tree modeling with CART and CHAID trees. Choose from logistic regression, elastic net models, survival analysis (Cox PH), random forests, XGBoost, stochastic gradient descent and more.
Export options for implementation in other scoring and decisioning software include SAS, SQL, PMML and Python.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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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Audience
Banks, lenders, fintechs, all organizations that develop and use analytic models to make decisions
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationFlower
Founded: 2023
Germany
flower.ai/
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Company InformationParagon Business Solutions
Founded: 1991
United Kingdom
www.credit-scoring.co.uk/modeller
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Categories |
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Integrations
Amazon Web Services (AWS)
Android
Apple iOS
Docker
Google Cloud Platform
Hugging Face
JAX
Keras
MXNet
Microsoft Azure
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Integrations
Amazon Web Services (AWS)
Android
Apple iOS
Docker
Google Cloud Platform
Hugging Face
JAX
Keras
MXNet
Microsoft Azure
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