arranger1044 / awesome-spnLinks
A structured list of resources about Sum-Product Networks (SPNs)
☆254Updated 4 years ago
Alternatives and similar repositories for awesome-spn
Users that are interested in awesome-spn are comparing it to the libraries listed below
Sorting:
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆305Updated this week
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 6 years ago
- Optimizing control variates for black-box gradient estimation☆163Updated 6 years ago
- code for Structured Variational Autoencoders☆351Updated 7 years ago
- Tools for loading standard data sets in machine learning☆205Updated 3 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated last year
- Understanding normalizing flows☆132Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Library for learning and inference with Sum-product Networks☆23Updated 5 years ago
- Generative moment matching networks☆150Updated 9 years ago
- A PyTorch library for two-sample tests☆242Updated 3 weeks ago
- Structured Inference Networks for Nonlinear State Space Models☆275Updated 8 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆101Updated 7 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- ☆172Updated last year
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆103Updated 9 years ago
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 9 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆110Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆122Updated 6 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028☆203Updated 3 years ago