Fun-with-MNIST

Collection of generative models in Pytorch version.

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

Awesome Generative Adversarial Networks with tensorflow

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Implementation of simple autoencoders networks with Keras

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