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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Fuel PHP framework stands out as a swift, straightforward, and adaptable PHP 5.4+ framework, integrating the finest concepts from other frameworks while offering a fresh perspective. It emerged from developers' dissatisfaction with existing frameworks and was shaped through collaboration within a community of programmers. Notably, FuelPHP boasts remarkable portability, functioning seamlessly on nearly any server, and is celebrated for its clean and readable syntax. This framework employs the MVC (Model View Controller) architecture, intentionally designed to fully support HMVC (Hierarchical Model View Controller) within its core structure. Additionally, the inclusion of ViewModels, also referred to as presentation models, provides developers with the ability to introduce a robust layer between the controller and the view, enhancing the application’s architecture. Furthermore, FuelPHP embraces a router-centric approach, allowing users to route directly to closures that handle input URIs, effectively transforming the closure into the controller and granting it authority over subsequent processing. This flexibility and support for modern development practices make FuelPHP an appealing choice for developers seeking efficiency and structure in their applications.

Description

Originally created by Uber, Horovod aims to simplify and accelerate the process of distributed deep learning, significantly reducing model training durations from several days or weeks to mere hours or even minutes. By utilizing Horovod, users can effortlessly scale their existing training scripts to leverage the power of hundreds of GPUs with just a few lines of Python code. It offers flexibility for deployment, as it can be installed on local servers or seamlessly operated in various cloud environments such as AWS, Azure, and Databricks. In addition, Horovod is compatible with Apache Spark, allowing a cohesive integration of data processing and model training into one streamlined pipeline. Once set up, the infrastructure provided by Horovod supports model training across any framework, facilitating easy transitions between TensorFlow, PyTorch, MXNet, and potential future frameworks as the landscape of machine learning technologies continues to progress. This adaptability ensures that users can keep pace with the rapid advancements in the field without being locked into a single technology.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Azure Databricks
Flyte
HTML
Keras
MXNet
Markdown
Microsoft Azure
Mustache
OAuth
PHP
PyTorch
Python
Smarty Software
TensorFlow
Twig

Integrations

Amazon Web Services (AWS)
Azure Databricks
Flyte
HTML
Keras
MXNet
Markdown
Microsoft Azure
Mustache
OAuth
PHP
PyTorch
Python
Smarty Software
TensorFlow
Twig

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
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

FuelPHP

Website

fuelphp.com

Vendor Details

Company Name

Horovod

Website

horovod.ai/

Product Features

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

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