Machine learning, in numpy
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Updated
Oct 29, 2023 - Python
Machine learning, in numpy
Collection of generative models in Tensorflow
Collection of generative models in Pytorch version.
Simple Implementation of many GAN models with PyTorch.
Reimplementation of GANs
Chainer implementation of recent GAN variants
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
Pytorch implementation of Wasserstein GANs with Gradient Penalty
GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, datasets 2a. Final project for UCLA's EE C247: Neural Networks and Deep Learning course.
Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018
A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
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