model-validation
There are 81 repositories under model-validation topic.
deepchecks/deepchecks
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.
bartoszlenar/Validot
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.
Giskard-AI/awesome-ai-safety
📚 A curated list of papers & technical articles on AI Quality & Safety
firmai/mtss-gan
MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
Azure/oav
Tools for validating OpenAPI (Swagger) files.
ModelOriented/auditor
Model verification, validation, and error analysis
lulalala/adequate_errors
Overcoming limitation of Rails model errors API
theriddleofenigma/laravel-model-validation
Laravel model validation validates the data on model events. *Only for laravel applications.
drsteve/PyForecastTools
Forecast Verification/Validation Tools in Python
danielegiardiello/Prediction_performance_survival
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)
nci/scores
scores: metrics for the verification, evaluation and optimisation of forecasts, predictions or models
survival-lumc/ValidationCompRisks
Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (2023, BMJ)
just-dandi/dandi
🌻A modular DI, MVC, and Model binding/validation framework for NodeJS and TypeScript or ES6
LoosC/systemsseRology
Machine learning tools for the analysis of systems serology data
mhusseini/Dryv
Server- and client-based model validation for ASP.NET Core 2.0 with rules written once in C#.
ascarrambad/ml-21-22
Labs for the SP21/22 Machine Learning class - Prof. Cesare Alippi, USI INF-BSc
ks1990cn/Demo_API_For_IMDB
This repo is to demo topics related to Dotnet Web API
fmelinscak/cognibench
CogniBench is a software framework for benchmarking cognitive models
furkanisitan/call-manager-panel
Demo project about Role Based Authorization in ASP.NET MVC.
hectorLop/Wandb-MV
Model versioning using Weight&Biases with Python.
inbo/inlatools
An R package with useful functions to diagnose INLA models
morficus/vue-dullahan-validation
The Headless Validator
ulysses-camara/ulysses-curiosity
Framework for probing tasks.
vaitybharati/P36.-Supervised-ML---Decision-Tree---C5.0-Entropy-Iris-Flower-
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
agero-core/validator
Model validation library for .NET applications
sushantdhumak/Predicting-Boston-Housing-Prices
Machine Learning Nano-degree Project : To assist a real estate agent and his/her client with finding the best selling price for their home
vathymut/dsos
Dataset shift with outlier scores
A82516/AEC
Aprendizagem e Extração de Conhecimento
chataize/perfect-email
Easy-to-use, high-performance email validator for C# .NET 8.0 with custom attribute and disposable domain detection.
jorgesandoval/iotthreat-classification-ensemble
Jupyter notebook for IoT threat detection using ensemble machine learning. Features data preprocessing, model training (Logistic Regression, Decision Trees, Neural Networks, etc.), and ensemble techniques for enhanced accuracy.
kahmingt/ASP.NET-Core-Web-API
ASP.Net Core Web Api
MoinDalvs/Learn_Simple_Linear_Regression
Learn about Simple Linear Regression for Data Science
nandhakeshore/Data-Mining-Clustering-Classification-Models
Customer segmentation by Clustering techniques and Predicting the Insurance claim status by using Classification ML models
SameerTirumala/Random-Forest-and-XGBoost-Regressor-Project
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.