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.

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.

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

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

Tools for validating OpenAPI (Swagger) files.

Model verification, validation, and error analysis

Overcoming limitation of Rails model errors API

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

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)

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)

🌻A modular DI, MVC, and Model binding/validation framework for NodeJS and TypeScript or ES6

Machine learning tools for the analysis of systems serology data

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

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

This repo is to demo topics related to Dotnet Web API

Model versioning using Weight&Biases with Python.

An R package with useful functions to diagnose INLA models

Demo project about Role Based Authorization in ASP.NET MVC.

Supervised-ML-Decision-Tree-C5.0-Entropy-Iris-Flower-Using Entropy Criteria - Classification Model. Import Libraries and data set, EDA, Apply Label Encoding, Model Building - Building/Training Decision Tree Classifier (C5.0) using Entropy Criteria. Validation and Testing Decision Tree Classifier (C5.0) Model