Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Python
Updated Jan 31, 2019
Collection of generative models in Tensorflow
Python
Updated Jul 21, 2018
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (D…
Python
Updated Apr 18, 2017
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Python
Updated Apr 12, 2019
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Python
Updated Oct 12, 2018
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WG…
Jupyter Notebook
Updated Nov 19, 2018
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟
Jupyter Notebook
Updated Apr 2, 2019
Tensorflow implementation of variational auto-encoder for MNIST
Python
Updated Apr 11, 2017
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
Python
Updated Mar 15, 2017
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Python
Updated Nov 30, 2018
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015
https://arxiv.org/ab…
Python
Updated Dec 6, 2018
Dataset to assess the disentanglement properties of unsupervised learning methods
Jupyter Notebook
Updated Jun 2, 2017
A tensorflow implementation of "Generating Sentences from a Continuous Space"
Python
Updated Jul 14, 2018
Advanced Deep Learning with Keras, published by Packt
Python
Updated Apr 5, 2019
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Jupyter Notebook
Updated Apr 25, 2019
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](
https://arxiv.org/abs/1711.00937) (V…
Jupyter Notebook
Updated Apr 5, 2018
Replicating "Understanding disentangling in β-VAE"
Python
Updated Jun 2, 2018
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Python
Updated Dec 1, 2018
Pytorch implementation of β-VAE
Python
Updated Nov 28, 2018
Stochastic Adversarial Video Prediction
Python
Updated Jan 23, 2019
Pytorch implementation of Hyperspherical Variational Auto-Encoders
Python
Updated Mar 21, 2019
Tensorflow implementation of conditional variational auto-encoder for MNIST
Python
Updated Apr 25, 2017
PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)
Python
Updated Nov 16, 2017
Vector Quantized VAEs - PyTorch Implementation
Python
Updated May 23, 2018
Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
Python
Updated Dec 12, 2018
Example projects I completed to understand Deep Learning techniques with Tensorflow.
Jupyter Notebook
Updated May 18, 2018
Blend beats using machine learning to create music in a fun new way.
JavaScript
Updated Mar 27, 2018
PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)
Python
Updated Oct 20, 2018
Variational Auto-Encoders in a Sequential Setting.
Python
Updated Mar 23, 2018
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(
http://arxiv.org/abs/1802.05983)
Python
Updated Jun 28, 2018