zib
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axsk / VoronoiGraph.jl
Voronoi diagrams in N dimensions using an improved raycasting method.
Language:Julia 6zib-cmd / cmdtools
Python implementation of severals tools (PCCA, AJC, SQRA, P/Q estimation) for the analysis of dynamical systems from the transfer operator perspective.
Language:Python 4Invariant subspaces of Koopman operators with artificial neural networks
Language:Jupyter Notebook 2- Language:C++ 2
A julia package for clustering spatial timeseries, like for example eye-tracking data, based on PCCA+.
Language:Jupyter Notebook 0Estimation of objective priors from cohort data
Language:Jupyter Notebook 0Optimal Importance Sampling for Diffusion processes applied to ISOKANN.
Language:Julia 0Approximation of the generator of a Diffusion process by pointwise potential evaluations.
Language:Julia 0- 0
Continuation of AJC work (2020-21) with trips to hitting time optimization, spa, sqra, isokann, committor neural network, sparse boxes, voronoi linear program, meta sgd, adaptive euler maruyama
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Deprecated (Entropy) approach to Empirical Bayes. Cf ObjectiveEmpiricalBayes.jl
Language:JuliaEarly work on the AJC and coherence (2019/2020) also with weather data
Language:Jupyter Notebook- Language:Julia
Scripts for the analysis of the innocent agent rates from the MoTMo model.
Language:Julia- Language:Julia
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