playing around with Genetic Algorithms
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Updated
Aug 28, 2017 - Python
playing around with Genetic Algorithms
Tensorflow implementation of Convolutional DRAW by Gregor et al. (2016)
LSTM network to generate grayscale images using Keras/Python 3.6
PyTorch Implementations of Generative models
Experimental framework for GAN/VAE research
Numpy implementation of Restricted Boltzmann Machine.
Minimal PyTorch implementation of Generative Latent Optimization from the paper "Optimizing the Latent Space of Generative Networks"
An open source library for building end-to-end dialog systems and training chatbots.
Variational Auto-Encoders in a Sequential Setting.
A Word-level Recurrent Neural Network Generative Model
generative adversarial networks in tensorflow
Variational Autoencoder implementation in tensorflow using prettytensor.
Implementation of different approaches to train Discrete Variational Autoencoders
A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
Experimenting with the PPGN-h architecture by adding new discriminators to the layers of the encoder
implement Deep Feature Consisten Variational Autoencoder in Tensorflow
OpenAI Glow implementation for TPU/GPU
Implementation of a Basic Variational Auto-Encoder
Generation of MNIST like digits using Conditional Generative Adversarial Nets
Tensorflow implementation of Image-to-Image Translation with Conditional Adversarial Networks
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