Project description

Educative Library: PyGANs

Simple Python Framework for creating GANs and seeing step by step the evolution of the generated data. Has an incorporated example that helps begginers to see the evolution of the GAN generating points in a 2D function.

Supported 2D Functions:

Trigonometric Functions (f(x)=sin(x))
Polynomial Functions, for example:
O f(x) = x**2
O f(x) = x**5 - 3x**2 - 4

Project details

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

2.0.3

Dec 19, 2019

2.0.2

Dec 17, 2019

This version

1.0.0

Dec 5, 2019

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pygans-1.0.0.tar.gz (3.5 kB view hashes)

Uploaded Dec 5, 2019 Source

Built Distribution

pygans-1.0.0-py3-none-any.whl (6.1 kB view hashes)

Uploaded Dec 5, 2019 Python 3

Hashes for pygans-1.0.0.tar.gz

Hashes for pygans-1.0.0.tar.gz
Algorithm	Hash digest
SHA256	`e4da0f157fe0bb55d17971e6516da168cd33f386474c5bdac0f40b9edd23d142`
MD5	`fdbe66b6ca9bc9edb5b8020908aa2040`
BLAKE2b-256	`eb81b3346134052388cb047a30bcb6659c44a78d08f8a3b0a5541adde8a95c4d`

Hashes for pygans-1.0.0-py3-none-any.whl

Hashes for pygans-1.0.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`171c37144b1991c1bcb6368f8b1597bf4dff7054038801297efb03dd7cb85e3a`
MD5	`b483c5629e66ca4f2e3fa5f8e71a265a`
BLAKE2b-256	`c79724ed73b8f01ae587cec79a2849dd9cdebd7bb29c74c2e0e29d67a872971e`