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-0.4.0.tar.gz
(8.8 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-0.4.0-py3-none-any.whl
(10.9 kB
view details)
File details
Details for the file iobm-0.4.0.tar.gz.
File metadata
- Download URL: iobm-0.4.0.tar.gz
- Upload date:
- Size: 8.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
507a6da96b89c32a6d05d103ab84889c59f66cb4c3cb29001f550cf043db186a
|
|
| MD5 |
d39b19511b287217bf95571b734dded0
|
|
| BLAKE2b-256 |
84107699789dc4fa48853cb743f3a1b6b7e42db0175f2f5449e194af418b953a
|
File details
Details for the file iobm-0.4.0-py3-none-any.whl.
File metadata
- Download URL: iobm-0.4.0-py3-none-any.whl
- Upload date:
- Size: 10.9 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 |
79d1f1a9ca5d7648700cd6049408a3f93addade995c9559fef1f5c557eaefbac
|
|
| MD5 |
975303598c3f76c74364bd52a520bcb4
|
|
| BLAKE2b-256 |
4c2bb865962e3a76e165c2d65eb5160e0d25567a282f8c3767d4e98ec7bf6491
|
