3 repository-uri
Awesome GitHub RepositoriesVisual Model Evaluators
Tools for visually assessing and comparing the performance metrics of trained machine learning models through interactive plots and cross-validation results.
Distinct from Machine Learning Evaluation: Distinct from Machine Learning Evaluation: focuses on the visual, interactive evaluation interface rather than programmatic metric computation.
Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Visual Model Evaluators. Refine with filters or upvote what's useful.
Awesome Visual Model Evaluators GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- rasbt/python-machine-learning-book
rasbt/python-machine-learning-book
12,614Vezi pe GitHubThis project is an educational resource providing practical code examples and implementations of machine learning algorithms using the Python language. It serves as a guide for constructing predictive pipelines, clustering models, and dimensionality reduction within the Scikit-Learn ecosystem. The repository includes comprehensive demonstrations for supervised and unsupervised learning, as well as detailed examples for implementing neural networks and deep architectures. It also provides practical guidance on exporting model parameters to JSON and wrapping trained models in web APIs for produ
Plots learning curves of accuracies against training set size to determine if more data improves performance.
Jupyter Notebook - biolab/orange3
biolab/orange3
5,635Vezi pe GitHubOrange3 is a visual data mining platform that provides an interactive canvas for building data analysis workflows without writing code. At its core, it offers a widget-based visual programming environment where users connect configurable components to perform data preprocessing, machine learning model training, statistical evaluation, and interactive visualization. The platform is built on NumPy-backed data tables with domain descriptors that define variable names, types, and roles, and includes a lazy SQL query proxy for working with database tables without loading all data into memory. The
Ships a visual workbench with interactive model evaluation tools, performance curves, and cross-validation results.
Python - salesforce/merlion
salesforce/Merlion
4,476Vezi pe GitHubMerlion este un framework de machine learning pentru serii temporale, conceput pentru detectarea anomaliilor și prognoză. Acesta oferă o interfață unificată pentru implementarea și aplicarea diverselor modele statistice și de machine learning pe fluxuri de date temporale. Proiectul include un dashboard de benchmarking care permite testarea vizuală și evaluarea modelelor față de seturi de date istorice de referință. Această interfață web permite experimentarea diferitelor modele pe seturi de date personalizate fără a fi nevoie de programare manuală. Framework-ul acoperă capabilități pentru identificarea valorilor aberante (outliers), prezicerea valorilor viitoare ale seriilor temporale și măsurarea acurateței modelului prin backtesting bazat pe simulări ale ciclurilor de antrenare în producție.
Allows users to visually assess and compare the performance of various models on custom datasets via a dashboard.
Pythonanomaly-detectionautomlbenchmarking
