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Ensemble Machine Learning Python Packages

Python packages with the GitHub topic ensemble-machine-learning. Sorted by relevance, with stars and monthly downloads.
h1st-ai
h1st

Power Tools for AI Engineers With Deadlines

583 795 86
raghavagps
toxinpred3

An improved method for predicting toxicity of the peptides and designing of non-toxic peptides

538 30 9
desh2608
dover-lap

Python package for combining diarization system outputs.

355 94 12
tonyleidong
optimalflow

OptimalFlow is an Omni-ensemble Automated Machine Learning toolkit to help data scientists building optimal models in easy way, and automate Machine Learning workflow with simple code.

285 27 10
faberBI
lambda-guard-boosting

Overfitting detection for Gradient Boosting — no validation set required

201 3 1
IvanVigor
ensemblem

This repository contains an implementation for the Dynamic Weighted Ensemble (DWE) - Local Fusion method. Local Fusion is an ensemble techinque that could be used to improve predictions by weighing appropriately the single models contribution.

201 8 0
vanlalpeka
adess

Anomaly Detection Using an Ensemble with Simple Sub-models

153 1 0
Dan-Boat
pyesd

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

120 60 11
IPVS-AS
pusion

Pusion (Python Universal Fusion) is a generic and flexible framework written in Python for combining multiple classifier’s decision outcomes.

70 11 1
h1st-ai
h1st-contrib

Power Tools for AI Engineers With Deadlines

4 795 86
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