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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.
raghavagps
toxinpred3

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

633 30 9
h1st-ai
h1st

Power Tools for AI Engineers With Deadlines

562 796 85
desh2608
dover-lap

Python package for combining diarization system outputs.

433 94 12
faberBI
lambda-guard-boosting

Overfitting detection for Gradient Boosting — no validation set required

341 3 1
tonyleidong
optimalflow

OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments(PCTE) and Selection-based Feature Preprocessor with Ensemble Encoding(SPEE), to help data scientists build optimal models, and automate supervised learning workflow with simpler coding.

314 27 10
IvanVigor
ensemblem

Dynamic Weighted Ensemble - Local Fusion

289 7 0
vanlalpeka
adess

Anomaly Detection Using an Ensemble with Simple Sub-models

180 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.

161 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.

107 11 1
h1st-ai
h1st-contrib

Power Tools for AI Engineers With Deadlines

4 796 85
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