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.
Project details
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-0.3.14.tar.gz
(8.4 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-0.3.14-py3-none-any.whl
(9.2 kB
view details)
File details
Details for the file iobm-0.3.14.tar.gz.
File metadata
- Download URL: iobm-0.3.14.tar.gz
- Upload date:
- Size: 8.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eacb77a6555509d4e21af95577d9065fbc174b61da6dd80934b41c91ef0e3523
|
|
| MD5 |
4a772268c91f0eea0c4cfc0b292332e0
|
|
| BLAKE2b-256 |
2642828dfc3746615e2370cc38c1074473eeb7ed989d9c8303562aa77f0c7bb9
|
File details
Details for the file iobm-0.3.14-py3-none-any.whl.
File metadata
- Download URL: iobm-0.3.14-py3-none-any.whl
- Upload date:
- Size: 9.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
99a3af2f08c51dcc8cb9072035b1c14ca625dade6ce5a2755187fd01ad10ddc2
|
|
| MD5 |
c88b50db4d5e70bb7baf641b2ca517ad
|
|
| BLAKE2b-256 |
1f3c513df1fedab394b31955ac2b4280680d85c6237854c3580abb759ed37c0f
|