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Boltzmann Machines in TensorFlow with examples
Parallel Hyperparameter Tuning in Python
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Python bindings and scikit-learn interface for the Operon library for symbolic regression.
A sklearn style interface to Stan regression models
A simple template of a Python API (web-service) for real-time Machine Learning predictions, using scikitlearn-like models, Flask and Docker.
A tool for performing cross-validation with panel data
SVR for multidimensional labels
Scikit learn compatible constrained and robust polynomial regression in Python
Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.
Optimizers for/and sklearn compatible Machine Learning models
Drop-in replacement of sklearn's Linear Regression with coefficients constraints
A Python implementation of random vector functional networks and broad learning systems using Sklearn's Regressor and classifier APIs
Machine Learning Transition State Analysis (MLTSA) suite with Analytical models to create data on demand and test the approach on different types of data and ML models.
A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
Sklearn compatible stacking classifier.
Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x prediction to x, compose var estimator, data frame wrapper, drop by noise prediction, drop missing rows y, dummy regressor var, estimator wrapper base, excluded column transformer pandas, feature union pandas, id transformer, included column transformer pand
Wrapper which provides scikit-learn-compatible implementation of SkNN sequence labeling algorithm
Enhancement of SKLearn Pipeline
thermometer encoding with sklearn interface
Time series features creation
Unofficial but extremely useful Label and One Hot encoders.
combination of EvalML with Rapids for the WiDS 2021 competition
Creating a Decision Tree Classifier using Python