danbar / fglibLinks
factor graph library
☆69Updated 6 years ago
Alternatives and similar repositories for fglib
Users that are interested in fglib are comparing it to the libraries listed below
Sorting:
- Factor graphs and loopy belief propagation implemented in Python☆191Updated 2 years ago
- Python implementation of Sum-Product for Factor Graphs☆44Updated 9 years ago
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆185Updated last year
- Sum product algorithm - Belief propagation (message passing) for factor graphs☆86Updated 7 years ago
- [ICML 2017] Robust estimation of mean and covariance in high dimensions☆33Updated 4 years ago
- Bayesian nonparametric small-variance asymptotic clustering algorithms☆20Updated 8 years ago
- Dirichlet Process Mixture Model sampling-based inference algorithms☆14Updated 8 years ago
- Course webpage for PGM, Spring 2019.☆76Updated 4 years ago
- Factor Graph Neural Network☆73Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Simple implementation of the "growing neural gas" artificial neural network☆62Updated 5 years ago
- MATLAB code for solving the Euclidean Distance Matrix completion problem.☆10Updated 7 years ago
- Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum☆167Updated 5 years ago
- Bayesian multi-tensor factorization methods, with side information☆29Updated 5 years ago
- DFO-GN: Derivative-Free Optimization using Gauss-Newton☆24Updated last year
- Streaming sparse Gaussian process approximations☆67Updated 2 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Updated 11 years ago
- Differentiable Gaussian Process implementation for PyTorch☆22Updated 7 years ago
- Gaussian process code in C++ including some implementations of GP-LVM and IVM.☆70Updated 3 years ago
- Repository for Deep Active Localization research and benchmarks☆36Updated 5 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 9 months ago
- A clustering library for large/temporally evolving datasets☆48Updated 7 years ago
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Updated 5 years ago
- Reference implementation of Optimistic Expected Improvement.☆49Updated 5 years ago
- Matrix exponential in cuda for pytorch and tensorflow☆16Updated 6 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Particle Filter Recurrent Neural Networks (AAAI 2020)☆79Updated 11 months ago
- Gaussian Process Regression for training data with noisy inputs and/or outputs☆10Updated 8 years ago
- ☆65Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago