parameter-learning

There are 5 repositories under parameter-learning topic.

  • erdogant/bnlearn

    Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

    Language:Jupyter Notebook48299546
  • Machine-Learning-in-Molecular-Sciences

    nickcafferry/Machine-Learning-in-Molecular-Sciences

    2017 Summer School on the Machine Learning in the Molecular Sciences. This project aims to help you understand some basic machine learning models including neural network optimization plan, random forest, parameter learning, incremental learning paradigm, clustering and decision tree, etc. based on kernel regression and dimensionality reduction, feature selection and clustering technology.

    Language:Jupyter Notebook5101

  • Parametric-Data-Assimilation/kse-multiparameter-learning

    An AOT-based algorithm to estimate multiple unknown parameters in the Kuramoto-Saviashinski equation. Source code for the paper "Concurrent Multiparameter Learning Demonstrated on the Kuramoto-Sivashinsky Equation" by Pachev, Whitehead, and McQuarrie.

    Language:Python3400

  • rbalexan/aa-228

    workspace for AA 228: decision making under uncertainty

    Language:Julia2101

  • Venn1998/Diabetes-BayesianModel

    Bayesian Network that encodes the relationships between diabetes, its risk factors, and its effects

    Language:Jupyter Notebook1100