Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Tools for validating OpenAPI (Swagger) files.

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Validot is a performance-first, compact library for advanced model validation. Using a simple declarative fluent interface, it efficiently handles classes, structs, nested members, collections, nullables, plus any relation or combination of them. It also supports translations, custom logic extensions with tests, and DI containers.

Model verification, validation, and error analysis

Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance for Cox proportional hazards models' (published in Annals of Internal Medicine)

Labs for the SP21/22 Machine Learning class - Prof. Cesare Alippi, USI INF-BSc

📚 A curated list of papers & technical articles on AI Quality & Safety

Forecast Verification/Validation Tools in Python

Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (published in BMJ)

Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home

Laravel model validation validates the data on model events. *Only for laravel applications.

Server- and client-based model validation for ASP.NET Core 2.0 with rules written once in C#.

An R package for doing repeated k-fold cross validation

Development and validation of a risk prediction model with binary outcome using logistic regression - Code repository for the manuscript 'Assessing the performance of prediction models: a framework for some traditional and novel measures' by Steyerberg et al. (2010)

Machine learning tools for the analysis of systems serology data

Model validation library for .NET applications

Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

Overcoming limitation of Rails model errors API

An R package with useful functions to diagnose INLA models