parameter-learning

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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.

parameter-estimation data-assimilation nudging parameter-learning kuramoto-sivashinsky

Updated Sep 20, 2022
Python

xxwtiancai / nanoRSI

Star

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

python evaluation ai-agents parameter-learning code-repair evolutionary-search llm recursive-self-improvement coding-agents agent-skills

Updated Sep 28, 2026
Python

DaanWestland / soil-relation-parameter-learning

Star

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.

python pytorch uncertainty-quantification digital-soil-mapping pedometrics soil-science parameter-learning quantile-regression-forests crps hybrid-modelling probabilistic-prediction knowledge-guided-machine-learning spatial-cross-validation tabular-foundation-models tabicl pedotransfer-functions wosis cation-exchange-capacity soil-nitrogen

Updated Sep 30, 2026
Python

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