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

Probabilistic Programming and Nested sampling in JAX

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

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

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

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

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

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.

NeurIPS 2018. Linear-time model comparison tests.

This repository contains my online payment fraud detection project using Python

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

Matlab command-line functions for supporting Simulink model comparison

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

R package for focused information criteria for model comparison

"Interactive Polar Diagrams for Model Comparison" by Aleksandar Anžel, Dominik Heider, and Georges Hattab

Using models to understand relationships and make predictions.

An IDE-agnostic Software model comparison tool that allows the user to choose the type of matching; similarity based or signature based, and specify the similarity threshold, modelling language of the models to be compared, and the granularity of comparison.

MADYS: isochronal parameter determination for young stellar and substellar objects

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…