Magnus Koudahl's repositories

CPC_ActiveInference2018

Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018

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kalman_filters

Contains examples from Sarkka - Bayesian Filtering and Smoothing and implementations of different Kalman Filters for practice purposes. WIP

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pymdp

A Python implementation of active inference for Markov Decision Processes

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DeepActiveInference

Code for the paper Deep Active Inference as Variational Policy Gradients.

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dmenu

Magnus fork of suckless Dmenu

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dwm

Magnus fork of suckless DWM

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ForneyLab.jl

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

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gp-adf

Gaussian Process Assumed Density Filter (Code for ICML 2009 paper)

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primordial_soup

Experiments with recreating the Primordial Soup from Friston (2019), A Free Energy Principle for a Particular Physics

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Greedy_InfoMax

Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations

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hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

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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.

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Mechanisms_Exploration_Paper

Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"

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pilco-matlab

PILCO policy search framework (Matlab version)

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PredictiveCodingBackprop

Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"

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sampling_based_mutual_information

Implements deep-learning and sampling based estimation of mutual information and conditional mutual information

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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

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