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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Apache APISIX boasts a comprehensive suite of traffic management capabilities, including Load Balancing, Dynamic Upstream, Canary Release, Circuit Breaking, Authentication, and Observability. This open-source API Gateway is designed to effectively manage microservices, ensuring optimal performance, enhanced security, and a scalable infrastructure for all your APIs and microservices. Notably, Apache APISIX is the pioneering open-source API Gateway equipped with an integrated low-code Dashboard, offering a robust and adaptable user interface tailored for developers. The Dashboard simplifies the operation of Apache APISIX through an intuitive frontend, making it accessible for users. As an open-source project, it is continually evolving, and contributions are always welcome. Furthermore, the Apache APISIX Dashboard is highly responsive to user needs, allowing the creation of custom modules to meet specific requirements while still providing a comprehensive no-code toolchain. This adaptability ensures that users can enhance their experience while working with the platform.

Description

DL4J leverages state-of-the-art distributed computing frameworks like Apache Spark and Hadoop to enhance the speed of training processes. When utilized with multiple GPUs, its performance matches that of Caffe. Fully open-source under the Apache 2.0 license, the libraries are actively maintained by both the developer community and the Konduit team. Deeplearning4j, which is developed in Java, is compatible with any language that runs on the JVM, including Scala, Clojure, and Kotlin. The core computations are executed using C, C++, and CUDA, while Keras is designated as the Python API. Eclipse Deeplearning4j stands out as the pioneering commercial-grade, open-source, distributed deep-learning library tailored for Java and Scala applications. By integrating with Hadoop and Apache Spark, DL4J effectively introduces artificial intelligence capabilities to business settings, enabling operations on distributed CPUs and GPUs. Training a deep-learning network involves tuning numerous parameters, and we have made efforts to clarify these settings, allowing Deeplearning4j to function as a versatile DIY resource for developers using Java, Scala, Clojure, and Kotlin. With its robust framework, DL4J not only simplifies the deep learning process but also fosters innovation in machine learning across various industries.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Spark
Casbin
Go
Hadoop
Helm
Java
Python
Second State

Integrations

Apache Spark
Casbin
Go
Hadoop
Helm
Java
Python
Second State

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Apache APISIX

Website

apisix.apache.org

Vendor Details

Company Name

Deeplearning4j

Founded

2019

Country

Japan

Website

deeplearning4j.org

Product Features

API Management

API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control

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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