There are 3 repositories under model-validation topic.
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
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: 'Assessing performance in prediction models with survival outcomes: practical guidance for Cox proportional hazards models' (published in Annals of Internal Medicine)
Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (published in BMJ)
🌻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
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
CogniBench is a software framework for benchmarking cognitive models
Demo project about Role Based Authorization in ASP.NET MVC.
The Headless Validator
Cross-validation in Julia
Framework for probing tasks.
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
Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home
Quality Evaluation of BPMN Business Process Models
ASP.Net Core Web Api
Learn about Simple Linear Regression for Data Science
Customer segmentation by Clustering techniques and Predicting the Insurance claim status by using Classification ML models
This project aims to explore concepts that I have only read about so far, like principal component analysis. Most of these tools come from the sklearn library, so I have the benefit of exploring this useful library. We will be using the data set from the Kaggle housing competition to build a regressor model that predicts the sale price of houses.
Build a logistics regression learning model on the given dataset to determine whether the customer will churn or not.