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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Our speed test component, which has been rigorously tested and proven effective, is integrated into countless websites across the globe. Millions of users benefit from this component each month, both through our own applications and those of our partners. Utilizing Speedchecker HTML5 technology, this tool operates without the need for any browser plug-ins, ensuring accessibility on a wide range of platforms, including PCs, Macs, Android, and iOS devices. The technology delivers precise and reliable results by employing the widely adopted Websocket standard in modern browsers, while older browsers revert to HTTP testing methods. Our cloud-based speed test controller guarantees optimal connections for testing clients by selecting the best servers available at any moment, taking into account various parameters such as geographic location, device capabilities, and server load. Additionally, we offer customized designs tailored to your specific requirements, ensuring seamless integration with your website or application’s aesthetic. This flexibility allows us to cater to a diverse array of user needs and enhance overall functionality.

Description

TensorFlow Agents (TF-Agents) is an extensive library tailored for reinforcement learning within the TensorFlow framework. It streamlines the creation, execution, and evaluation of new RL algorithms by offering modular components that are both reliable and amenable to customization. Through TF-Agents, developers can quickly iterate on code while ensuring effective test integration and performance benchmarking. The library features a diverse range of agents, including DQN, PPO, REINFORCE, SAC, and TD3, each equipped with their own networks and policies. Additionally, it provides resources for crafting custom environments, policies, and networks, which aids in the development of intricate RL workflows. TF-Agents is designed to work seamlessly with Python and TensorFlow environments, presenting flexibility for various development and deployment scenarios. Furthermore, it is fully compatible with TensorFlow 2.x and offers extensive tutorials and guides to assist users in initiating agent training on established environments such as CartPole. Overall, TF-Agents serves as a robust framework for researchers and developers looking to explore the field of reinforcement learning.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Python
TensorFlow

Integrations

Python
TensorFlow

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

SpeedChecker

Founded

2008

Country

United States

Website

www.speedchecker.com/products/html5-speed-checker.html

Vendor Details

Company Name

Tensorflow

Founded

2015

Country

United States

Website

www.tensorflow.org/agents

Product Features

Product Features

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