MarcCote / NADELinks
Neural Autoregressive Distribution Estimation
☆54Updated 9 years ago
Alternatives and similar repositories for NADE
Users that are interested in NADE are comparing it to the libraries listed below
Sorting:
- Autoregressive Energy Machines☆78Updated 3 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 8 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- Bayesian Backprop RNN implementation pytorch https://arxiv.org/abs/1704.02798☆25Updated 7 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆237Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 5 years ago
- Implementation of REBAR in PyTorch☆17Updated 7 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆47Updated 7 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 8 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 9 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- Gaussian Processes in Pytorch☆76Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 7 years ago
- Understanding normalizing flows☆132Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆104Updated 5 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Updated 9 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago
- Natural Gradient, Variational Inference☆29Updated 6 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆132Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago