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Starred repositories
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.
Genetic feature selection module for scikit-learn
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
[HELP REQUESTED] 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