Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
APACHE-2.0 License
JSON (de)serialization extensions
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-le...
Amazon SageMaker Local Mode Examples
An implementation of M5 and model trees in python, compliant with scikit-learn.
Sequential model-based optimization with a `scipy.optimize` interface
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps ...
A simple and lightweight genetic algorithm for optimization of any machine learning model
Feature engineering package with sklearn like functionality
Easy hyperparameter optimization and automatic result saving across machine learning algorithms a...
Data search & enrichment library for Machine Learning → Easily find and add relevant features to ...
🛠All-in-one web-based IDE specialized for machine learning and data science.
Open standard for machine learning interoperability
Data science tools for exploration, visualization, and model iteration.