Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
D8Averse is an innovative technology company focused on enhancing the operations of telecom providers, utility firms, electric cooperatives, and small cell deployment teams by modernizing their methods for gathering and managing aerial pole data. Our leading product, D8Acapture, is a mobile platform that allows a single technician to efficiently record AR-precise pole measurements, GPS-tagged images, attachment information, and compliance-ready documentation using only an iPhone or iPad. Whether it's for broadband expansion, storm season preparation, joint-use audits, or expediting 5G permits, D8Acapture streamlines operations by eliminating cumbersome equipment, minimizing the number of truck rolls, and increasing data precision. With the capability to instantly synchronize data from the field to engineering teams, organizations can achieve faster project rollouts, make informed choices, and realize significant returns on investment throughout the infrastructure lifecycle. This cutting-edge solution not only enhances productivity but also ensures that teams can respond swiftly to changing demands and challenges in the field.
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
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Python
No
TensorFlow
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
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
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
D8Averse
Founded
2023
Country
United States
Website
d8averse.com
Vendor Details
Company Name
Tensorflow
Founded
2015
Country
United States
Website
www.tensorflow.org/agents