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-0.4.12.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-0.4.12-py3-none-any.whl
(11.5 kB
view details)
File details
Details for the file iobm-0.4.12.tar.gz.
File metadata
- Download URL: iobm-0.4.12.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 |
050c70b57ba8e45675f0814b68274e1ede0c4db37902623720b0e9946b98699c
|
|
| MD5 |
d43b6461f0b246992de31c2b758fb59e
|
|
| BLAKE2b-256 |
9ba975316f1885d8cf6365c4693542d18fa523d38bff82dcefd2a482c0477276
|
File details
Details for the file iobm-0.4.12-py3-none-any.whl.
File metadata
- Download URL: iobm-0.4.12-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 |
995e05a116e13cfd14bbb6de452546a93b1369beff344feb2bd8e03ae8bc8d45
|
|
| MD5 |
24fdd50671c0bc8404676e3d882aae6b
|
|
| BLAKE2b-256 |
7c4a49376f367318d1ba1b32413d93ece29740ad93d96415f8867bdacdeabacd
|