BIASlab (@biaslab)

Top repositories

1

RxInfer.jl

Julia package for automated Bayesian inference on a factor graph with reactive message passing
Jupyter Notebook
179
star
2

Rocket.jl

Functional reactive programming extensions library for Julia
Julia
161
star
3

ForneyLab.jl

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Julia
150
star
4

ReactiveMP.jl

High-performance reactive message-passing based Bayesian inference engine
Julia
79
star
5

hugo-academic-group

An academic group website theme for Hugo.
HTML
54
star
6

GraphPPL.jl

DSL for probabilistic models specification and probabilistic programming.
Julia
18
star
7

RxEnvironments.jl

Reactive environments for self-learning agents
Julia
15
star
8

biaslab-hugo

Repository with content of BIASlab website for Hugo static site generator.
HTML
12
star
9

LAIF

Experiments with deriving epistemics aware message passing algos
Julia
6
star
10

MultiAgentTrajectoryPlanning

Experiments of the "Multi-Agent Trajectory Planning with NUV Priors" paper
Julia
6
star
11

ai_workshop_2020

Code to run potential based agents and generate figures for the submission to the 2020 Workshop on Active Inference
Julia
6
star
12

ExponentialFamily.jl

Julia
5
star
13

AIDA

Julia
5
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14

RxAgent-Zoo

Archive of active inference agents based on reactive message passing.
Jupyter Notebook
5
star
15

PrincipledPruningBNN

Jupyter Notebook
5
star
16

ReactiveMP_JuliaCon2021

ReactiveMP JuliaCon2021 presentation notebooks
Julia
3
star
17

LCSS2024-NARXEFE

Code, figures, animations for a NARX-EFE based agent.
Jupyter Notebook
3
star
18

nsi-silverbox

Online system identification in Silverbox by minimising free energy
Jupyter Notebook
2
star
19

SituatedSoundscaping

Derivations and experiments of the "A Bayesian Modeling Approach to Situated Design of Personalized Soundscaping Algorithms" paper, published in the MDPI journal of Applied Sciences in the special issue on AI, Machine Learning and Deep Learning in Signal Processing, 2021.
Julia
2
star
20

IWAI2020-onlinesysid

Code and experiments for IWAI 2020 submission on online system identification
HTML
1
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21

rxinfer-website

Repository with content of RxInfer website for Hugo static site generator.
JavaScript
1
star
22

CDC-2022

Experiments and derivations for CDC2022 paper on message passing-based inference for NARMAX system identification.
Jupyter Notebook
1
star
23

ExtendedVMP

Experiments for numerical approximations to VMP
Jupyter Notebook
1
star
24

TVAR_FFG

Time-varying autoregressive models in Forney-Style Factor Graphs
Jupyter Notebook
1
star
25

NARX

ForneyLab.jl factor node for a nonlinear autoregressive model with exogenous input.
Julia
1
star
26

IWAI2024-ambiguity

Expected free energy minimization with approximations to nonlinear observation functions
Jupyter Notebook
1
star
27

ReactiveInferencePendulum

A small demonstration of reactive Bayesian inference for pendulum dynamics
Jupyter Notebook
1
star
28

ACC2022-vmpNARMAX

Experiments and derivations for ACC2022 paper on variational message passing for online NARMAX identification.
Jupyter Notebook
1
star
29

SiPS2022-EfficientModelEvidenceComputation

Experiments and derivations for SiPS2022 paper "Efficient model evidence computation in tree-structured factor graph"
Jupyter Notebook
1
star
30

LAR

AR extension of ForneyLab.jl
Jupyter Notebook
1
star
31

PGM2022-SourceSeparationNAR

Experiments and code of the paper "Online Single-Microphone Source Separation using Non-Linear Autoregressive Models"
Jupyter Notebook
1
star
32

CVMP

Implementation of https://github.com/Nimrais/CCMPPaper
Julia
1
star
33

ThesisParallelMP

Master thesis project of Mattia Vicari about parallel computing in message passing-based Bayesian inference programs
Jupyter Notebook
1
star
34

CCTA2024-BIDconvection

Experiments for CCTA 2024 submission on fast Bayesian gray-box identification of convection in heat transfer dynamics.
Jupyter Notebook
1
star
35

Chengfeng_intent_inference

Jupyter Notebook
1
star
36

preds-not-commands

Experiment with sending predictions, not commands, to an actuator that reacts to minimize the prediction error.
Jupyter Notebook
1
star
37

OnlineMessagePassingDirichletProcess

Julia
1
star