Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 47 conceptual hydrologic models

A Python library for amortized Bayesian workflows using generative neural networks.

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks

Probabilistic Programming and Nested sampling in JAX

A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.

This is the repo for a python package that does model comparison between different regression models.

NeurIPS 2018. Linear-time model comparison tests.

Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".

A comprehensive Churn Classification solution aimed at laying out the steps of a classification solution, including EDA, Stratified train test split, Training multiple classifiers, Evaluating trained classifiers, Hyperparameter tuning, Optimal probability threshold tuning, model comparison, model selection and Whiteboxing models for business sen…

Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python

R package for focused information criteria for model comparison

The inference code for our Nature paper about globular clusters in M31/Andromeda.

ModelWise: Interactive Model Comparison for Model Diagnosis, Improvement and Selection(EuroVis 22)

Over the past months, we have seen a significant racial justice reckoning happening across the country since the killing of George Floyd by a police officer in May 2020. This incident sparked a redirection of attention to similar lives that had been lost at the hands of officers, leading to calls for re-evaluation of the role and power that poli…

Explaining microbial scaling laws using Bayesian inference

Using models to understand relationships and make predictions.