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Lightgbm Python Packages

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

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

16.2M 18K 4K
Microsoft
synapseml

Simple and Distributed Machine Learning

2.1M 5K 861
Nixtla
mlforecast

Scalable machine 🤖 learning for time series forecasting.

606K 1K 126
neptune-ai
neptune

📘 The experiment tracker for foundation model training

175K 623 75
skforecast
skforecast

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

95K 1K 189
neptune-ai
neptune-client

📘 The experiment tracker for foundation model training

42K 623 75
elastic
eland

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

37K 693 110
linkedin
fasttreeshap

Fast SHAP value computation for interpreting tree-based models

29K 557 37
siboehm
lleaves

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

24K 471 45
mars-project
pymars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

19K 3K 324
BayesWitnesses
m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

16K 3K 261
softwareag
nyoka

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

9K 190 44
ThomasBury
arfs

All Relevant Feature Selection

9K 143 15
mljar
mljar-supervised

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

9K 3K 434
cerlymarco
shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

7K 584 73
xorbitsai
xorbits

Scalable Python DS & ML, in an API compatible & lightning fast way.

7K 1K 69
ClimbsRocks
auto-ml

Automated machine learning for production and analytics

4K 2K 309
RektPunk
mqboost

Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) and preventing quantile crossing using LightGBM and XGBoost

4K 41 8
StatMixedML
lightgbmlss

An extension of LightGBM to probabilistic modelling

3K 384 36
Opt-Mucca
pyscipopt-ml

Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs

3K 42 3
mljar
supertree

Visualize decision trees in Python

2K 535 19
feedzai
fairgbm

Train Gradient Boosting models that are both high-performance *and* Fair!

2K 108 8
ClimbsRocks
automl

Automated machine learning for production and analytics

2K 2K 309
stefanoviana
deepalpha-freqai

Quant-grade ML plugin for Freqtrade/FreqAI: Triple Barrier labels, SHAP selection, meta-labeling, purged walk-forward CV, LightGBM.

1K 10 7
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