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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 

Screenshots View All

Screenshots View All

Integrations

Python No 
TensorFlow No 

Integrations

Python Yes 
TensorFlow Yes 

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

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