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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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Azure Databricks No 
Flyte No 
HTML Yes 
Keras No 
MXNet No 
Markdown Yes 
Microsoft Azure No 
Mustache Yes 
OAuth Yes 
PHP Yes 
PyTorch No 
Python No 
Smarty Software Yes 
TensorFlow No 
Twig Yes 

Integrations

Amazon Web Services (AWS) Yes 
Azure Databricks Yes 
Flyte Yes 
HTML No 
Keras Yes 
MXNet Yes 
Markdown No 
Microsoft Azure Yes 
Mustache No 
OAuth No 
PHP No 
PyTorch Yes 
Python Yes 
Smarty Software No 
TensorFlow Yes 
Twig No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
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 No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

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 No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

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