42 skills found · Page 1 of 2
scikit-learn-contrib / Category EncodersA library of sklearn compatible categorical variable encoders
feature-engine / Feature EngineFeature engineering and selection open-source Python library compatible with sklearn.
csinva / ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
yell / Boltzmann MachinesBoltzmann Machines in TensorFlow with examples
ARM-software / MangoParallel Hyperparameter Tuning in Python
csinva / ImodelsXInterpret text data with LLMs (sklearn compatible).
heidelbergcement / HcrystalballA library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
EpistasisLab / Scikit MdrA sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
jmetzen / Kernel RegressionImplementation of Nadaraya-Watson kernel regression with automatic bandwidth selection compatible with sklearn.
heal-research / PyoperonPython bindings and scikit-learn interface for the Operon library for symbolic regression.
donlapark / CoverforestA simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
MrNuggelz / Sklearn Lvqsklearn compatible implementation of generalized vector quantization algorithms
WardBrian / Scikit StanA sklearn style interface to Stan regression models
4Freye / PanelsplitA tool for performing cross-validation with panel data
d12306 / Implementation Of Transductive SVM Sklearn CompatibleNo description available
lopezco / Ml Flask ApiA simple template of a Python API (web-service) for real-time Machine Learning predictions, using scikitlearn-like models, Flask and Docker.
ksivaman / Adversarial AutoencodersSklearn compatible estimators for securing deep learning models from malicious attacks.
dmitru / PinesA Python implementation of decision trees, compatible with sklearn.
xhan97 / InneA scikit-learn-compatible module for Isolation-based anomaly detection using nearest-neighbor ensembles
tcsvn / PyadlmlContains data preprocessing and visualization methods for ADL datasets.
