parameter-learning 开源项目推荐（9 个）

erdogant /bnlearn

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

EarthyScience /EasyHybrid.jl

EasyHybrid.jl provides a simple and flexible framework for hybrid modeling, enabling the integration of neural networks with process-based models.

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,…

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.

xxwtiancai /nanoRSI

A minimal lab for improving programs, agents and model parameters. Real demos, frozen evaluations, inspectable evidence. Zero runtime dependencies.

rbalexander1 /aa-228

workspace for AA 228: decision making under uncertainty

snpoudel /diff-hydro

Differentiable hydrological model with neural network-based parameter learning of HBV model.

DaanWestland /soil-relation-parameter-learning

Predict rarely measured soil properties (total N, CEC7) by learning the bounded parameters of known soil relations; spatial benchmark with QRF, TabM and TabICLv2 on public WoSIS data.

Venn1998 /Diabetes-BayesianModel

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