ebonilla

AutoGP

Code for AutoGP

VGCN

Variational Graph Convolutional Networks

gaussianprocesses

Modern Gaussian Processes: Scalable Inference and Novel Applications

Sparse-Gaussian-Processes-Revisited

Code for Bayesian Sparse GPs

BayesTrack

Bayesian Approaches to State Estimation and Tracking in Multi-Scale Systems

bayes_dag

Project Implemeting BayesDag of Annadani et al

BGCN

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Differentiable-DAG-Sampling

Differentiable DAG Sampling (ICLR 2022)

dmm

Deep Markov Models

ebonilla.github.io

My Personal Website

ebonilla.github.io.old

Edwin V. Bonilla's Personal Web Page

ebonilla.github.old.io

My Home Page

FFVD

Code repository for Free-Form Variational Inference for Gaussian Process State-Space Models (ICML-2023)

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

GGP

Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'

gp-dre

Gaussian Process Density Ratio Estimation

GPflow

Gaussian processes in TensorFlow

GPt

Gaussian Processes for Sequential Data

Graph-Representation-Learning-Tutorial

Code for Data61's tutorial on Graph Representation Learning

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

MCPM

Code for MCPM

ODElearning_INN

[ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks

PyDA

PyDA: A hands-on introduction to dynamical data assimilation with Python

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

sequential_design_for_predator_prey_experiments

This repository contains both R and MATLAB code that conducts optimal sequential experimental design for predator-prey experiments. See README.md for more information.

softsort

Code for "SoftSort: A Continuous Relaxation for the argsort Operator", ICML 2020.

Sparse-GP

starter-hugo-academic

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

STVB

An implementation of the model described in "Structured Variational Inference in Continuous Cox Process Models".

technicalNotes

Technical notes for stuff