danbar / fglib
factor graph library
☆65Updated 5 years ago
Related projects: ⓘ
- Python implementation of Sum-Product for Factor Graphs☆44Updated 8 years ago
- Factor graphs and loopy belief propagation implemented in Python☆188Updated 2 years ago
- Sum product algorithm - Belief propagation (message passing) for factor graphs☆85Updated 6 years ago
- Bayesian nonparametric small-variance asymptotic clustering algorithms☆20Updated 7 years ago
- Dirichlet Process Mixture Model sampling-based inference algorithms☆12Updated 7 years ago
- [ICML 2017] Robust estimation of mean and covariance in high dimensions☆33Updated 4 years ago
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆178Updated last year
- MATLAB code for solving the Euclidean Distance Matrix completion problem.☆10Updated 6 years ago
- A clustering library for large/temporally evolving datasets☆48Updated 6 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆32Updated 10 years ago
- ☆65Updated 4 years ago
- Factor graph visualization with d3.js☆22Updated 7 years ago
- DFO-GN: Derivative-Free Optimization using Gauss-Newton☆23Updated last year
- Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum☆147Updated 5 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Implementation of Deep Variational Bayes Filter☆12Updated 5 years ago
- Entropy Search for Information-Efficient Global Optimization - JMLR v13☆26Updated 7 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆43Updated 4 years ago
- Matlab code for the introduction to Gaussian processes, 2008☆30Updated 9 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 7 years ago
- Probabilistic graphical models in python☆22Updated 5 years ago
- Gaussian Process Regression for training data with noisy inputs and/or outputs☆10Updated 7 years ago
- Code and data accompaning the paper "Learning State Representations with Robotic Priors" (Jonschkowski and Brock, 2015).☆18Updated 6 years ago
- Gaussian Processes in Pytorch☆74Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆66Updated 5 years ago
- Factor Graph Neural Network☆66Updated 3 years ago
- Expectation Particle Belief Propagation code☆12Updated 5 years ago
- code for "Efficient Optimization for Sparse Gaussian Process Regression"☆20Updated 10 years ago
- Particle Filter Network (PF-net)☆79Updated 5 years ago
- Bayesian multi-tensor factorization methods, with side information☆29Updated 4 years ago