Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
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Sep 26, 2022 - Python
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hyper-parameter-optimization
Here are 13 public repositories matching this topic...
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
machine-learning computer-vision deep-learning pytorch semi-supervised-learning image-classification object-detection transfer-learning image-segmentation quantization action-recognition automl incremental-learning anomaly-detection hyper-parameter-optimization self-supervised-learning openvino neural-networks-compression datumaro
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May 28, 2025 - Python
An autoML framework & toolkit for machine learning on graphs.
machine-learning deep-learning pytorch automl neural-architecture-search hyper-parameter-optimization graph-neural-networks pytorch-geometric
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Aug 8, 2024 - Python
Generalized and Efficient Blackbox Optimization System
distributed-systems saas constrained-optimization multi-objective-optimization bayesian-optimization hyper-parameter-optimization blackbox-optimization automatic-machine-learning
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Oct 17, 2024 - Python
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
machine-learning bioinformatics deep-learning cheminformatics drug-discovery drug-repurposing convolutional-neural-networks command-line-tool prediction-model performance-evaluation hyper-parameter-optimization 2d-images-of-compounds drug-target-interactions
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Jul 25, 2024 - Python
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
python distributed-systems data-science machine-learning deep-learning ensemble-learning bayesian-optimization neural-architecture-search meta-learning hyper-parameter-optimization blackbox-optimization automl-algorithms automl-pipeline knobs-tuning
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Nov 16, 2021 - Python
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
python data-science scikit-learn hyper-parameter-optimization hyper-parameter-tuning nature-inspired-algorithms
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Oct 3, 2023 - Python
Combined hyper-parameter optimization and feature selection for machine learning models using micro genetic algorithms
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Feb 13, 2018 - Python
A gradient free optimization routine which combines Particle Swarm Optimization with a local optimization for each particle
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Jul 6, 2023 - Python
Grammaropt : a framework for optimizing over domain specific languages (DSLs)
data-science machine-learning scikit-learn grammar-specification context-free-grammar automated-machine-learning hyper-parameter-optimization
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Jan 14, 2019 - Python
Pipelineopt, sckit-learn automatic pipeline optimization
data-science machine-learning scikit-learn context-free-grammar automated-machine-learning hyper-parameter-optimization
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Sep 17, 2017 - Python
Pipoh is a library that implements several diversification techniques base on mean-variance framework. In addition, it includes a novel purely data-driven methods for determining the optimal value of the hyper-parameters associated with each investment strategy.
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Aug 22, 2022 - Python
Python implementation that explores how different parameters impact a single hidden layer of a feed-forward neural network using gradient descent
python python3 hidden-layers hyper-parameter-optimization hyper-parameter feed-forward-neural-networks ffnet
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Mar 5, 2021 - Python
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