Pinned Repositories
ai_workshop_2020
Code to run potential based agents and generate figures for the submission to the 2020 Workshop on Active Inference
efe_lgds
Experiments for the paper "On Epistemics in Expected Free Energy for linear Gaussian state-space models"
LAIF
Experiments with deriving epistemics aware message passing algos
CPC_ActiveInference2018
Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
DeepActiveInference
Code for the paper Deep Active Inference as Variational Policy Gradients.
dmenu
Magnus fork of suckless Dmenu
dwm
Magnus fork of suckless DWM
kalman_filters
Contains examples from Sarkka - Bayesian Filtering and Smoothing and implementations of different Kalman Filters for practice purposes. WIP
primordial_soup
Experiments with recreating the Primordial Soup from Friston (2019), A Free Energy Principle for a Particular Physics
pymdp
A Python implementation of active inference for Markov Decision Processes
MagnusKoudahl's Repositories
MagnusKoudahl/CPC_ActiveInference2018
Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
MagnusKoudahl/kalman_filters
Contains examples from Sarkka - Bayesian Filtering and Smoothing and implementations of different Kalman Filters for practice purposes. WIP
MagnusKoudahl/pymdp
A Python implementation of active inference for Markov Decision Processes
MagnusKoudahl/DeepActiveInference
Code for the paper Deep Active Inference as Variational Policy Gradients.
MagnusKoudahl/dmenu
Magnus fork of suckless Dmenu
MagnusKoudahl/dwm
Magnus fork of suckless DWM
MagnusKoudahl/ForneyLab.jl
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
MagnusKoudahl/gp-adf
Gaussian Process Assumed Density Filter (Code for ICML 2009 paper)
MagnusKoudahl/primordial_soup
Experiments with recreating the Primordial Soup from Friston (2019), A Free Energy Principle for a Particular Physics
MagnusKoudahl/Greedy_InfoMax
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
MagnusKoudahl/hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
MagnusKoudahl/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.
MagnusKoudahl/Mechanisms_Exploration_Paper
Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"
MagnusKoudahl/pilco-matlab
PILCO policy search framework (Matlab version)
MagnusKoudahl/PredictiveCodingBackprop
Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
MagnusKoudahl/sampling_based_mutual_information
Implements deep-learning and sampling based estimation of mutual information and conditional mutual information
MagnusKoudahl/slstatus
slstatus is a suckless status monitor for window managers that use WM_NAME (e.g. dwm) or stdin to fill the status bar - mirror from suckless