magnuskoudahl Goto Github PK
Name: Magnus Koudahl
Type: User
Twitter: KoudahlM
Magnus Koudahl's Projects
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
forneylab.jl
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
gp-adf
Gaussian Process Assumed Density Filter (Code for ICML 2009 paper)
greedy_infomax
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
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.
kalman_filters
Contains examples from Sarkka - Bayesian Filtering and Smoothing and implementations of different Kalman Filters for practice purposes. WIP
mechanisms_exploration_paper
Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"
pilco-matlab
PILCO policy search framework (Matlab version)
predictivecodingbackprop
Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
primordial_soup
Experiments with recreating the Primordial Soup from Friston (2019), A Free Energy Principle for a Particular Physics
sampling_based_mutual_information
Implements deep-learning and sampling based estimation of mutual information and conditional mutual information
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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