torchgan
Research Framework for easy and efficient training of GANs based on Pytorch
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Download Latest Version (.zip)- bug_report.md
- feature_request.md
- ci_testing.yml
- codecov.yml
- pythonpublish.yml
- rebase.yml
- theme_overrides.css
- custom_loss_1.png
- custom_loss_2.png
- cyclegan_1.png
- cyclegan_2.png
- cyclegan_3.png
- cyclegan_4.png
- intro_1.png
- intro_2.png
- sagan_1.png
- sagan_2.png
- basic_example.rst
- citing.rst
- contributing.rst
- dependencies.rst
- installation.rst
- license.rst
- philosophy.rst
- layers.rst
- logging.rst
- losses.rst
- metrics.rst
- models.rst
- trainer.rst
- conf.py
- index.rst
- make.bat
- Makefile
- requirements.txt
- features.png
- performance.png
- TorchGAN_Design.png
- paper.bib
- paper.md
- __init__.py
- test_layers.py
- test_losses.py
- test_metrics.py
- test_models.py
- test_trainer.py
- __init__.py
- __init__.py
- denseblock.py
- minibatchdiscrimination.py
- residual.py
- selfattention.py
- spectralnorm.py
- virtualbatchnorm.py
- __init__.py
- backends.py
- logger.py
- visualize.py
- __init__.py
- auxclassifier.py
- boundaryequilibrium.py
- draganpenalty.py
- energybased.py
- featurematching.py
- functional.py
- historical.py
- leastsquares.py
- loss.py
- minimax.py
- mutualinfo.py
- wasserstein.py
- __init__.py
- classifierscore.py
- metric.py
- __init__.py
- acgan.py
- autoencoding.py
- conditional.py
- dcgan.py
- infogan.py
- model.py
- __init__.py
- base_trainer.py
- parallel_trainer.py
- trainer.py
- __init__.py
- utils.py
- Tutorial 1. Introduction to TorchGAN.ipynb
- Tutorial 2. Custom Loss Functions.ipynb
- Tutorial 3. CycleGAN.ipynb
- Tutorial 4. Self Attention GAN.ipynb
- Tutorial 5. Adversarial Autoencoder.ipynb
- .codecov.yml
- .gitattributes
- .gitignore
- .pre-commit-config.yaml
- .readthedocs.yml
- CITATION.bib
- LICENSE
- pyproject.toml
- README.md
- requirements.txt
- setup.cfg
- setup.py
# Installation Guide
1. Get the code
git clone https://github.com/torchgan/torchgan
Downloads the entire project code from GitHub to your computer.
cd torchgan
Moves into the project folder you just downloaded.
2. Python
Easy RecommendedPrerequisites
$ pip install torchgan
Installs the Python libraries listed in requirements.txt (or similar).
$ pip install git+https://github.com/torchgan/torchgan.git
Installs the Python libraries listed in requirements.txt (or similar).
$ pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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