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-0.1.15.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-0.1.15-py3-none-any.whl
(6.6 kB
view details)
File details
Details for the file iobm-0.1.15.tar.gz.
File metadata
- Download URL: iobm-0.1.15.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 |
0bc9584ee496ba4164a8731c3c2e6af31948100c13090ea1c8ca1e49064814d9
|
|
| MD5 |
6daed8ee15dd345fedd49bb21601554a
|
|
| BLAKE2b-256 |
449aea50c96448cbcec2ded692cc6ae4a56ad04e9778b81f9caf4dc4e9042c40
|
File details
Details for the file iobm-0.1.15-py3-none-any.whl.
File metadata
- Download URL: iobm-0.1.15-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 |
b2b1722cf7669bf253393b6839da4ddf8cb0bb95181277f61a7a357f6fd1c9c6
|
|
| MD5 |
1227595c615f149f69317a88b74a0647
|
|
| BLAKE2b-256 |
fe7f90cd55ae1160dda420ea7e2708d60169f90ced24b7bc57f13595855b2030
|
