andrew-cr / online_var_filLinks
Code for our paper: Online Variational Filtering and Parameter Learning
☆18Updated 3 years ago
Alternatives and similar repositories for online_var_fil
Users that are interested in online_var_fil are comparing it to the libraries listed below
Sorting:
- ☆51Updated 2 years ago
 - Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
 - A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 6 years ago
 - Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
 - Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 3 years ago
 - Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
 - Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
 - Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
 - Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
 - Sequential Neural Likelihood☆42Updated 6 years ago
 - ☆24Updated 4 years ago
 - Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
 - Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
 - A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
 - Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆226Updated last year
 - ☆181Updated 6 years ago
 - Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆37Updated 4 years ago
 - Implementation of stochastic variational inference for differentially deep gaussian processes☆15Updated 6 years ago
 - Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
 - This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
 - ☆250Updated 2 years ago
 - Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
 - Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
 - Masked Autoregressive Flow☆218Updated last year
 - ☆155Updated 3 years ago
 - Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
 - Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 7 years ago
 - Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
 - IVON optimizer for neural networks based on variational learning.☆72Updated 11 months ago
 - Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year