A simple conditional adverserial neural network module.
Project description
cGAN Project
This is a Conditional Generative Adversarial Network (cGAN) project that allows you to train on your own dataset. The project generates images based on the specified data and saves a trained generator model along with a dictionary of classes to indices.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
iobm-0.0.13.tar.gz
(6.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
iobm-0.0.13-py3-none-any.whl
(6.6 kB
view details)
File details
Details for the file iobm-0.0.13.tar.gz.
File metadata
- Download URL: iobm-0.0.13.tar.gz
- Upload date:
- Size: 6.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad04788970c9ba4742079f6230e3821078beaba79573dda79b89c6ff439571bf
|
|
| MD5 |
63be1ed601b8dbd7c31093cead9ed852
|
|
| BLAKE2b-256 |
494bbed7f67ff3c82115305b2269e52377be264e24aa6cb33c7c02e24dd82284
|
File details
Details for the file iobm-0.0.13-py3-none-any.whl.
File metadata
- Download URL: iobm-0.0.13-py3-none-any.whl
- Upload date:
- Size: 6.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
514a7988ef190643135503851b5d7974fdc3d6a74158209c08cb5d671ddece7b
|
|
| MD5 |
5febea8ea3ed8287ae9e91b601b404c2
|
|
| BLAKE2b-256 |
e10954e53392096f5c29a30dab1ef4ca5ab9cc072a6ba7ba28028bddeb3a658a
|
