arranger1044 / awesome-spn
A structured list of resources about Sum-Product Networks (SPNs)
☆251Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-spn
- Optimizing control variates for black-box gradient estimation☆162Updated 5 years ago
- Tools for loading standard data sets in machine learning☆202Updated 2 years ago
- Sum-Product Network learning routines in python☆26Updated 9 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 6 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆359Updated 5 years ago
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆290Updated this week
- ☆159Updated 3 months ago
- Generative moment matching networks☆149Updated 8 years ago
- Deep exponential families (DEFs)☆56Updated 6 years ago
- Library for learning and inference with Sum-product Networks☆23Updated 4 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆114Updated 8 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 5 years ago
- code for Structured Variational Autoencoders☆350Updated 6 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆140Updated 6 years ago
- Edward content including papers, posters, and talks☆90Updated 4 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Dropout As A Bayesian Approximation: Code☆199Updated 9 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆204Updated 8 years ago
- Implementing Bayes by Backprop☆182Updated 5 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆391Updated 6 months ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆886Updated 6 months ago
- Structured Inference Networks for Nonlinear State Space Models☆265Updated 7 years ago
- Implementation of VLAE☆215Updated 6 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆376Updated 7 years ago
- Understanding normalizing flows☆131Updated 4 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- A Python implementation of the gradient REBAR estimator.☆45Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago