A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
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Updated
Jun 30, 2017 - Jupyter Notebook
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
Image colorization with a Multivariate Bernoulli Mixture Density network.
Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks (EMNLP2017)
Mixture Density Network with Chainer
Pytorch Implementation of Conditional + Unconditional Handwriting
Mixture Density Network Demo in Pytorch
Implementation of a Mixture Density Network in the deep probabilistic programming language Pyro.
Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.
Keras layer for Mixture Density Network (MDN)
DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
World Models Experiments for Duckietown
Mixture Density Networks (MDN) implemented in PyTorch
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
Use of Deep Mixture Density Networks to predict Muon Hit positions from Photon propagation time in scintillator bars in Muon Telescopes
World Models Experiments for Duckietown
Simple Mixture Density Model implementation in Pytorch
Adversarial Mixture Density Networks for autonomous driving
(WIP) Implementation of a network for Handwriting Synthesis based on the work of Generating Sequences With Recurrent Neural Networks by Alex Graves (https://arxiv.org/abs/1308.0850)
Framework for learning effective reduced order dynamics of molecular systems.
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