dusenberrymw / mixture-density-networksLinks
An exploration of mixture density networks
☆35Updated 7 years ago
Alternatives and similar repositories for mixture-density-networks
Users that are interested in mixture-density-networks are comparing it to the libraries listed below
Sorting:
- Mixture Density Networks (MDN) implemented in PyTorch☆65Updated 5 years ago
- PyTorch implementation of AVF☆45Updated 5 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 8 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- Adversarial Non-linear Independent Component Analysis☆50Updated 8 years ago
- Lifelong Variational Autoencoder☆15Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Python implementation of the PR-SSM.☆56Updated 7 years ago
- ☆80Updated 7 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- ☆17Updated 7 years ago
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Updated 8 years ago
- A PyTorch implement of Dilated RNN☆11Updated 7 years ago
- VAE + Quantile Networks for MNIST☆13Updated 6 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆45Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Distributed Tensorflow Implementation of Asynchronous Methods for Deep Reinforcement Learning☆29Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆66Updated 5 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- ☆16Updated 8 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)☆80Updated 8 years ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks☆18Updated 7 years ago
- Disentangled Variational AutoEncoder with PyTorch☆29Updated 6 years ago
- ☆25Updated 3 years ago
- Actor Critic using Kronecker-Factored Trust Region☆19Updated 7 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Implementation of Sequential Variational Autoencoder☆90Updated 8 years ago