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-0.4.19.tar.gz
(9.4 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-0.4.19-py3-none-any.whl
(11.5 kB
view details)
File details
Details for the file iobm-0.4.19.tar.gz.
File metadata
- Download URL: iobm-0.4.19.tar.gz
- Upload date:
- Size: 9.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a2f375ee3924b9bfeb16458d954ba4ddda42c43a1a2a129c9d15c040eab69129
|
|
| MD5 |
3608d2ba4786e24557e0cb4d1ba5dd4f
|
|
| BLAKE2b-256 |
ba71dd4f91968bacc507c3344a3ababa6353e745e6cd85a301b19966b0280762
|
File details
Details for the file iobm-0.4.19-py3-none-any.whl.
File metadata
- Download URL: iobm-0.4.19-py3-none-any.whl
- Upload date:
- Size: 11.5 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 |
42d21b30da0adf73f6daf37e6f2f84c0af36606e43695eb1b5dc6cbde7ec59e2
|
|
| MD5 |
0060745de15ac762531969e0c430b63f
|
|
| BLAKE2b-256 |
65764f3328ff8733f3bbe73842160e07735d93d84e46a40a63c46b6ead8fd835
|
