text-gan-tensorflow
TensorFlow GAN implementation using Gumbel Softmax
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Download Latest Version (.zip)- test.txt
- train.txt
- valid.txt
- .gitignore
- data_loader.py
- decoders.py
- distributions.py
- Dockerfile
- inference.py
- layers.py
- LICENSE
- losses.py
- model.py
- README.md
- requirements.txt
- search.py
- train.py
- utils.py
# Installation Guide
1. Get the code
git clone https://github.com/tokestermw/text-gan-tensorflow
Downloads the entire project code from GitHub to your computer.
cd text-gan-tensorflow
Moves into the project folder you just downloaded.
2. Docker
Easy RecommendedPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker build -t text-gan-tensorflow .
Builds a runnable image based on the Dockerfile.
docker run -p 8080:80 text-gan-tensorflow
Runs the built image as an actual container.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
3. Python
EasyPrerequisites
pip install -r requirements.txt
Installs the Python libraries listed in requirements.txt (or similar).
python <μ€νν νμΌλͺ
>.py # READMEμμ μ νν μ€ν νμΌλͺ
μ νμΈνμΈμ
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
// repository documentation
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