yanji84 / keras-mdn
Implementation of mixture density network layer and objective function in Keras
☆22Updated 8 years ago
Alternatives and similar repositories for keras-mdn:
Users that are interested in keras-mdn are comparing it to the libraries listed below
- Save keras weight matrices as short animated videos during training☆105Updated 7 years ago
- An MDN Layer for Keras using TensorFlow's distributions module☆167Updated 5 months ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- ☆12Updated 6 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆217Updated 6 years ago
- ☆209Updated 6 years ago
- Variational Fourier Features☆83Updated 3 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆102Updated 7 years ago
- Spearmint, without the gum☆42Updated 7 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆54Updated 8 years ago
- Implementation of the VRAE☆58Updated 3 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆376Updated 8 years ago
- Clockwork RNN in TensorFlow☆61Updated 6 years ago
- ☆62Updated 7 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆342Updated 7 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆133Updated 7 years ago
- Extra Layers for Keras to connect CNN with RNN☆154Updated 8 years ago
- Code base for "Innovation Engines" GECCO 2015 paper☆29Updated 7 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Updated 8 years ago
- A variational recurrent neural network implementation in tensorflow☆103Updated 7 years ago
- Code for the "Discriminative Regularization for Generative Models" paper.☆72Updated 8 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆127Updated 3 years ago
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago
- Deep Manifold Learning on Music Audio☆35Updated 8 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Kernel Mixture Network implementation with some minor tweaks☆45Updated 7 years ago
- Optimized Dynamic Programming (Dynamic Time Warp) as a Python external☆76Updated 9 years ago
- Classification uncertainty using Bayesian neural networks☆33Updated 8 years ago
- What My Deep Model Doesn't Know...☆117Updated 9 years ago
- Train an Infinite Restricted Boltzmann Machine☆28Updated 6 years ago