Beast code in Giters

Dominik Linzner's repositories

An absolute minimum implementation for learning neuralODEs using the adjoint method. Warning: For educational purposes only!

Language:Python4 20

A toolbox for exact and approximate inference in continuous-time Bayesian networks

Language:MATLAB200

Automated learning of CTMCs from arbitrary time-series data

Language:Python020

Just some solution to a challenge

Language:Jupyter Notebook010

An implementation of mitosis classification from histopathy images.

Language:Python010

An interface for knowledge graph generation for mongoDB

Language:PythonMIT030

An application of the AutoCTMC code to a Kaggle challenge on pulmonary fibrosis.

Language:Python010

Sampling and (active-)learning Continuous-Time Bayesian Networks in python.

Language:Python010

An implementation of sampling and learning of Continuous-Time Bayesian networks in Rust

Language:Rust020

A scalable gradient-based method for causal structure learning from noisy multi-variate time-course data

Language:MATLAB000