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MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai )
GANs in computer vision AI Summer article series
Updated
Oct 7, 2020
Python
Provides a framework for training Generative Adverserial Networks (GANs) with user-defined training parameters and network complexity.
Updated
Sep 12, 2021
Jupyter Notebook
My Master Thesis experimentation source codes
Updated
Apr 6, 2021
Python
Pytorch Implementation of VAE
Updated
Aug 23, 2019
Python
One of the most basic GAN setup. Training on MNIST dataset for generating handwritten digits, on Tensorflow.
Updated
Jul 4, 2020
Python
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