model-validation

Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

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.

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

Forecast Verification/Validation Tools in Python

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

🌻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

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

Giskard public documentation on GitBook 📗

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

Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance' (manuscript in preparation)

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

Framework for probing tasks.

CogniBench is a software framework for benchmarking cognitive models

Model versioning using Weight&Biases with Python.

An R package with useful functions to diagnose INLA models