Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
MacroFlow is an advanced software application designed for the swift and precise flow and thermal design of various engineering flow systems. It utilizes Flow Network Modeling (FNM) to depict the flow system as a network of interconnected components and paths, capturing the overall flow and thermal properties. The behavior of the system is analyzed through a direct solution approach that incorporates the conservation equations for mass, momentum, and energy at the system level. Featuring an intuitive Graphical User Interface (GUI), MacroFlow enables users to rapidly build intricate network models. Its extensive component library encompasses both standard geometric parts and specialized components tailored for applications like electronics cooling, semiconductor processing, and filtration, as well as vendor-specific libraries. The solution methodology employed is highly robust and efficient, allowing for the analysis of a typical practical flow system to be completed in under a minute. This efficiency makes MacroFlow an invaluable tool for engineers seeking to optimize their designs quickly and effectively.
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
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
No
iPad App
No
Android App
No
Windows
Yes
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Innovative Research
Country
United States
Website
inresllc.com/products/macroflow/overview.html
Vendor Details
Company Name
Tensorflow
Founded
2015
Country
United States
Website
www.tensorflow.org/agents