ilyakava / sumproduct
Sum product algorithm - Belief propagation (message passing) for factor graphs
☆86Updated 6 years ago
Alternatives and similar repositories for sumproduct:
Users that are interested in sumproduct are comparing it to the libraries listed below
- factor graph library☆69Updated 6 years ago
- Factor graphs and loopy belief propagation implemented in Python☆190Updated 2 years ago
- Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum☆162Updated 5 years ago
- Python implementation of Sum-Product for Factor Graphs☆44Updated 8 years ago
- Belief propagation is a general graph algorithm for ranking nodes based on their location in the graph and some prior knowledge. The ne…☆18Updated 10 years ago
- Factor Graph Neural Network☆72Updated 3 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆39Updated 6 years ago
- Tensor Belief Propagation - algorithm for approximate inference in discrete graphical models☆12Updated 5 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆123Updated 4 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 2 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- ☆22Updated 3 years ago
- What My Deep Model Doesn't Know...☆117Updated 9 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- Logistic Circuits☆35Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆120Updated 5 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆397Updated last year
- Optimizing control variates for black-box gradient estimation☆162Updated 5 years ago
- A structured list of resources about Sum-Product Networks (SPNs)☆253Updated 4 years ago
- An implementation of loopy belief propagation on a Bayesian Network (BN)☆11Updated 10 years ago
- [ICML 2017] Robust estimation of mean and covariance in high dimensions☆34Updated 4 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆47Updated 6 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆47Updated 9 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- Structured Inference Networks for Nonlinear State Space Models☆268Updated 7 years ago
- Dropout As A Bayesian Approximation: Code☆201Updated 9 years ago