pipeline-optimization

There are 1 repository under pipeline-optimization topic.

IBM / AutoMLPipeline.jl
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
pipeline pipeline-structure machine-learning automl symbolic-expressions data-mining julia scikitlearn-wrapper symbolic-pipeline pipeline-optimization ensemble-learning chaining stacking data-mining-algorithms data-science machine-learning-models classification
Language:HTML 350
releaunifreiburg / DeepPipe
[KDD 2023] Deep Pipeline Embeddings for AutoML
automl deep-learning deep-learning-pipelines machine-learning pipeline-optimization meta-learning transfer-hpo
Language:Python 15
bhattbhavesh91 / tpot-tutorial
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.
automation automl data-science hyperparameter-optimization machine-learning pipeline-optimization python tpot tree video
Language:Jupyter Notebook 2
AriChow / error_propagation
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 gradient based approach to quantify the gradients of the expected error w.r.t the algorithms and hyperparameters.
bayesian-optimization data-analytics error-quantification machine-learning model-selection pipeline-optimization
Language:Python 0
CutoML
omkarudawant / CutoML
A lightweight custom automl library.
automl automl-experiments machine-learning pipeline-optimization hyperparameter-search hyperparameter-optimization
Language:Python 0

pipeline-optimization

IBM / AutoMLPipeline.jl

releaunifreiburg / DeepPipe

bhattbhavesh91 / tpot-tutorial

AriChow / error_propagation

omkarudawant / CutoML