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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
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