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Found 6 datasets matching "Generative Adversarial Network".

Federal
Software for Evaluating Convolutional Generative Adversarial Networks with Classical Random Process Noise Models
- Organization: National Institute of Standards and Technology
- Updated: 2022-07-03 00:00:00
This research software package contains Python code to execute experiments on deep generative modeling of classical random process models for noise time series. Specifically, it includes Pytorch...
- none
Search relevance: 106.17 | Views last month: 1
Federal
Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
- Organization: National Institute of Standards and Technology
- Updated: 2022-01-21 00:00:00
This repository contains results for experiments on generative modeling of synthetic Orthogonal-Frequency Division Multiplexing (OFDM) communication signals. (This record supersedes Software and...
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Search relevance: 77.12 | Views last month: 5
Federal
**SUPERSEDED** Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
- Organization: National Institute of Standards and Technology
- Updated: 2021-06-25 00:00:00
This software and data have been superseded. Please visit https://doi.org/10.18434/mds2-2532
- html
Search relevance: 75.42 | Views last month: 0
Federal
A Data-Driven Approach to Complex Voxel Predictions in Grayscale Digital Light Processing Additive Manufacturing Using U-nets and Generative Adversarial Networks
- Organization: National Institute of Standards and Technology
- Updated: 2023-03-07 00:00:00
Digital light processing (DLP) vat photopolymerization (VP) additive manufacturing (AM) uses patterned UV light to selectively cure a liquid photopolymer into a solid layer. Subsequent layers are...
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Search relevance: 74.60 | Views last month: 0
Federal
Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)
- Organization: Department of Energy
- Updated: 2025-07-15T20:07:01Z
The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the...
- html
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Search relevance: 74.33 | Views last month: 0
Federal
Noise Datasets for Evaluating Deep Generative Models
- Organization: National Institute of Standards and Technology
- Updated: 2023-06-07 00:00:00
Synthetic training and test datasets for experiments on deep generative modeling of noise time series. Consists of data for the following noise types: 1) band-limited thermal noise, i.e.,...
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Search relevance: 62.87 | Views last month: 14

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Software for Evaluating Convolutional Generative Adversarial Networks with Classical Random Process Noise Models

Data for Modeling OFDM Communication Signals with Generative Adversarial Networks

**SUPERSEDED** Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks

A Data-Driven Approach to Complex Voxel Predictions in Grayscale Digital Light Processing Additive Manufacturing Using U-nets and Generative Adversarial Networks

Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

Noise Datasets for Evaluating Deep Generative Models

SUPERSEDED Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks