One package opens your gate to using different types of GAN Network. but now it's only capable of handling 6 types of GAN so don't worry Later on I added more GAN Networks.
Like:
- Simple Gan.
- DeepConvulation Gan
- Conditional Gan
- Wasserstein Gan
- Pix2Pix Gan
- Cycle Gan
First: clone Repo
git clone [email protected]:hi-sushanta/magic.git
Second: Go to magic folder
Third: Install the magic library into your local machine:
pip install dist
Fourth: now it is time to use this library.
import magic
Note🧐: Want to master this powerful GAN library? No sweat! I've created comprehensive tests for every network, offering a clear roadmap to get you started. Check them out first - they'll make using the library a breeze!