Pinned Repositories
BunDLe-Net
Behavioural and Dynamic Learning Network (BunDLe-Net) is an algorithm to learn meaningful coarse-grained representations from time-series data. It maps high-dimensional data to low-dimensional space while preserving both dynamical and behavioural information. It has been applied, but is not limited to neuronal manifold learning.
csl-benchmark
Benchmarking causal structure learning (CSL) for the inference of conditional independencies/d-separations.
racetrack
A minimalist environment for decision-making in autonomous driving with new racetrack(s)
thesis
Masters thesis on CSL for SAGE estimation
csl-experiments
fippy
Feature Importance with Python
christophluther's Repositories
christophluther/BunDLe-Net
Behavioural and Dynamic Learning Network (BunDLe-Net) is an algorithm to learn meaningful coarse-grained representations from time-series data. It maps high-dimensional data to low-dimensional space while preserving both dynamical and behavioural information. It has been applied, but is not limited to neuronal manifold learning.
christophluther/csl-benchmark
Benchmarking causal structure learning (CSL) for the inference of conditional independencies/d-separations.
christophluther/racetrack
A minimalist environment for decision-making in autonomous driving with new racetrack(s)
christophluther/thesis
Masters thesis on CSL for SAGE estimation