krashkov / Belief-Propagation
Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
☆162Updated 5 years ago
Alternatives and similar repositories for Belief-Propagation:
Users that are interested in Belief-Propagation are comparing it to the libraries listed below
- Sum product algorithm - Belief propagation (message passing) for factor graphs☆86Updated 6 years ago
- Factor Graph Neural Network☆72Updated 3 years ago
- Factor graphs and loopy belief propagation implemented in Python☆190Updated 2 years ago
- ☆22Updated 3 years ago
- factor graph library☆69Updated 6 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆47Updated last year
- ☆22Updated 5 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Mutual Information codes☆30Updated 6 years ago
- Jupyter notebooks for my blog☆31Updated 5 years ago
- Approximate Message Passing in Python☆69Updated 9 months ago
- ☆58Updated 2 years ago
- Python notebooks for Optimal Transport between Gaussian Mixture Models☆42Updated 3 years ago
- Graph signal processing tutorial, presented at the GraphSiP summer school.☆74Updated 6 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆103Updated 5 years ago
- Expectation-Maximization (EM) algorithm in Matlab☆54Updated 2 years ago
- EDGE: Scalable and optimum mutual information estimator for high-dimensional applications including deep learning☆40Updated 2 years ago
- Approximate Bayesian Inference Toolkit (Python, C++)☆14Updated 10 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆123Updated 4 years ago
- Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)☆60Updated 3 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago
- ☆15Updated 4 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆120Updated 5 years ago
- demonstration of the information bottleneck theory for deep learning☆61Updated 7 years ago
- Estimators for the entropy and other information theoretic quantities of continuous distributions☆136Updated 10 months ago
- This python code estimates conditional mutual information (CMI) and mutual information (MI) for discrete and/or continuous variables usin…☆35Updated 3 years ago
- Lightweight Python library for in-memory matrix completion.☆107Updated last year
- A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf☆14Updated 5 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago