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-0.3.27.tar.gz
(8.5 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-0.3.27-py3-none-any.whl
(9.4 kB
view details)
File details
Details for the file iobm-0.3.27.tar.gz.
File metadata
- Download URL: iobm-0.3.27.tar.gz
- Upload date:
- Size: 8.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9f3db8ad6ed0bdea91d719c53020b51c6d01295c40db967510f5f6c068c4644f
|
|
| MD5 |
4694d894c7c5bce33cb1923c2956156f
|
|
| BLAKE2b-256 |
5edd20a023a69e3ad5f216d8288c4749062e6a5ec0d5300e4bad97a0fbfac5f2
|
File details
Details for the file iobm-0.3.27-py3-none-any.whl.
File metadata
- Download URL: iobm-0.3.27-py3-none-any.whl
- Upload date:
- Size: 9.4 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 |
9d5f69ede565ce0aa7ee538f06f89c4012a95e8d4e08c4a60e003a1d32c1ba33
|
|
| MD5 |
85f2578e6ae4d3601d730871fae47d91
|
|
| BLAKE2b-256 |
9f42ac8f4bd03432ffd449a736bc2ffffdcdef3067dd8470f3422bcf4261f6d3
|
