Ensemble Machine Learning Python Packages

h1st

Power Tools for AI Engineers With Deadlines

toxinpred3

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

dover-lap

Python package for combining diarization system outputs.

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.

lambda-guard-boosting

Overfitting detection for Gradient Boosting — no validation set required

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.

adess

Anomaly Detection Using an Ensemble with Simple Sub-models

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.

pusion

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