Search Packages

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.

synapseml

Simple and Distributed Machine Learning

mlforecast

Scalable machine 🤖 learning for time series forecasting.

neptune

📘 The experiment tracker for foundation model training

skforecast

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

neptune-client

📘 The experiment tracker for foundation model training

pymars

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

eland

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

fasttreeshap

Fast SHAP value computation for interpreting tree-based models

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

lleaves

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

arfs

All Relevant Feature Selection

xorbits

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

mljar-supervised

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

nyoka

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

shap-hypetune

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

deepalpha-freqai

AI crypto trading bot + TradingView webhook for Bybit, Binance, OKX, Gate.io, KuCoin, Bitget. 70.9% accuracy, pump scanner. Free trial.

mqboost

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

auto-ml

[UNMAINTAINED] Automated machine learning for analytics & production

lightgbmlss

An extension of LightGBM to probabilistic modelling

supertree

Visualize decision trees in Python

pyscipopt-ml

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

dquant

DQuant is an open-source Python library for automated volatility forecasting of financial time series.

hybridts

Hybrid time series forecasting library combining Prophet with gradient boosting models