The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actiona…

LRBoost is a scikit-learn compatible approach to performing linear residual based stacking/boosting.

The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"

A Python library for dynamic classifier and ensemble selection

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.

Generative AutoML for Tabular Data

Genetic feature selection module for scikit-learn

Leaf designed for Halo Infinite

State-of-the art Automated Machine Learning python library for Tabular Data

Matplotlib styles for scientific plotting

A python library to build Model Trees with Linear Models at the leaves.

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missi…

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

Seamlessly integrate LLMs into scikit-learn.

Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

A Python library for machine-learning and feedback loops on streaming data

Monitor the stability of a Pandas or Spark dataframe ⚙︎

Efficient matrix representations for working with tabular data

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

Leave One Feature Out Importance

Machine Unlearning for Random Forests

[CONTRIBUTORS WELCOME] Generalized Additive Models in Python

WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)

Deep Multi-scale CNN for Dynamic Scene Deblurring

Instance-based uncertainty estimation for gradient-boosted regression trees

A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.

Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications