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Catboost Python Packages

Python packages with the GitHub topic catboost. Sorted by relevance, with stars and monthly downloads.
catboost
catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

6.4M 9K 1K
skforecast
skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

95K 1K 189
catboost
catboost-dev

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

49K 9K 1K
mljar
mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

9K 3K 434
erdogant
hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

6K 67 18
34j
boost-loss

Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost

967 10 0
34j
sklearn-utilities

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

747 3 1
burning-cost
insurance-causal

Causal inference for insurance pricing — DML, CatBoost nuisance models, confounding bias reports

703 0 0
DataCanvasIO
hypergbm

A full pipeline AutoML tool for tabular data

676 364 48
AdrianAntico
retrofit

High-Performance ML Training, Scoring & Evaluation (Polars + GPU-Ready)

655 26 7
burning-cost
shap-relativities

SHAP-based rating relativities from GBM models for insurance pricing — extract GLM-style factors from CatBoost, Polars

599 0 0
burning-cost
insurance-quantile

Actuarial tail risk quantile/expectile regression for insurance pricing - TVaR, large loss loading, ILF curves, CatBoost

575 1 0
burning-cost
insurance-distill

GBM-to-GLM distillation for insurance pricing - surrogate factor tables for Radar/Emblem rating engines

529 0 0
burning-cost
insurance-severity

Severity modelling for insurance pricing - spliced distributions, DRN, composite regression, EQRN extreme quantiles

471 0 0
HunterMcGushion
hyperparameter-hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

461 708 99
Priboy313
pandasflow

A set of custom python modules for friendly workflow on pandas

399 1 0
burning-cost
insurance-demand

Deprecated — merged into insurance-optimise

380 0 0
burning-cost
insurance-cv

Temporal cross-validation for insurance pricing - respects policy time structure, CatBoost, Polars

378 0 0
TsLu1s
tsforecasting

TSForecasting is an automated time series forecasting framework

354 30 1
burning-cost
insurance-thin-data

Transfer learning and foundation models for thin-segment pricing - GLMTransfer, TabPFN wrapper, MMD shift test

331 0 0
kossisoroyce
timber-compiler

Classical ML Inference Compiler — compiles XGBoost, LightGBM, sklearn, CatBoost, and ONNX models to optimized C99 / LLVM IR / WASM inference artifacts. Includes hardware acceleration (AVX2/NEON/CUDA), safety certification (DO-178C/ISO-26262), supply-chain signing, and embedded/ROS2/PX4 deployment.

328 677 21
burning-cost
insurance-distributional

Distributional GBM for insurance pricing — TweedieGBM, GammaGBM, ZIPGBM, NegBinomialGBM, per-risk volatility scoring

317 0 0
owenodriscoll
py-automl-lib

Python package for automated hyperparameter-optimization of common machine-learning algorithms

311 5 1
burning-cost
insurance-deploy

Champion/challenger pricing framework — shadow mode, SHA-256 routing, SQLite quote log, bootstrap LR test, ENBP audit (146 tests)

275 0 0
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