Data

Tools

Indexes

Applications

Experiments

Open Source Science

https://github.com/andleb/ciwganfiwgan-pytorch

https://github.com/andleb/ciwganfiwgan-pytorch

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: sciencedirect.com
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.0%) to scientific vocabulary

Keywords

deep-learning gan generative-adversarial-network generative-model
Last synced: 5 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: andleb
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 30.3 KB
Statistics
  • Stars: 1
  • Watchers: 0
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Fork of atzhou8/ciwganfiwgan-pytorch
Topics
deep-learning gan generative-adversarial-network generative-model
Created almost 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme

README.md

ciwganfiwgan-pytorch

This is a PyTorch implementation of Categorical Info WaveGAN (ciwGAN) and Featural Info WaveGAN (fiwGAN) from Beguš, 2021. The original code (in Tensorflow 1.12) can be found here.

Usage

Training WaveGAN

python train.py --datadir training_directory --logdir log_directory

Training ciwGAN

python train.py --ciw --num_categ N --datadir training_directory --logdir log_directory

Training fiwGAN

python train.py --fiw --num_categ N --datadir training_directory --logdir log_directory

Continue training from a previous checkpoint

Add --cont last to the end of the training statement to continue from the last found state
Add --cont epoch_number to continue from the state corresponding to epoch_number

Owner

  • Name: Andrej Leban
  • Login: andleb
  • Kind: user
  • Location: Ann Arbor, MI
  • Company: University of Michigan, Department of Statistics

GitHub Events

Total
Last Year

Issues and Pull Requests

Last synced: 5 months ago

All Time
  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 minutes
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • andleb (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

requirements.txt pypi
  • numpy ==1.21.5
  • scipy ==1.8.0
  • torch ==1.11.0
  • tqdm ==4.64.0