pipeline-optimization

Here are 5 public repositories matching this topic...

IBM / AutoMLPipeline.jl

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

data-science machine-learning data-mining pipeline julia classification ensemble-learning data-mining-algorithms symbolic-expressions automl stacking chaining machine-learning-models pipeline-optimization pipeline-structure scikitlearn-wrapper symbolic-pipeline

Updated May 16, 2024
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releaunifreiburg / DeepPipe

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[KDD 2023] Deep Pipeline Embeddings for AutoML

machine-learning deep-learning automl meta-learning pipeline-optimization deep-learning-pipelines transfer-hpo

Updated Apr 30, 2024
Python

bhattbhavesh91 / tpot-tutorial

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TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. In this video, I'll show you how you can use TPOT for Classification.

python data-science machine-learning automation tree video hyperparameter-optimization automl tpot pipeline-optimization

Updated May 29, 2021
Jupyter Notebook

This project is for understanding and quantifying the errors in a machine learning or data analytic pipeline. Two approaches are explored. The first is using freezing and unfreezing of pipeline components (using optimization techniques like grid-search, random-search, Bayesian Optimization, Genetic Algorithms etc.). The second is using a gradien…

machine-learning model-selection data-analytics bayesian-optimization error-quantification pipeline-optimization