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hyper-parameter-optimization

Here are 13 public repositories matching this topic...

openvinotoolkit / training_extensions

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

Updated Jul 31, 2024
Python

PKU-DAIR / open-box

Generalized and Efficient Blackbox Optimization System

distributed-systems saas constrained-optimization multi-objective-optimization bayesian-optimization hyper-parameter-optimization blackbox-optimization automatic-machine-learning

Updated Jul 28, 2024
Python

cansyl / DEEPScreen

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

Updated Jul 25, 2024
Python

THUMNLab / AutoGL

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

Updated Feb 27, 2024
Python

timzatko / Sklearn-Nature-Inspired-Algorithms

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

Updated Oct 3, 2023
Python

e-baumer / pos

A gradient free optimization routine which combines Particle Swarm Optimization with a local optimization for each particle

optimization particle-swarm-optimization hyper-parameter-optimization hyper-parameter-tuning

Updated Jul 6, 2023
Python

D-X-Y / Awesome-AutoDL

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

awesome deep-learning nas automl neural-architecture-search hyper-parameter-optimization autodl

Updated Sep 26, 2022
Python

faprieto96 / pipoh

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.

portfolio optimization investment hyper-parameter-optimization

Updated Aug 22, 2022
Python

PKU-DAIR / mindware

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

Updated Nov 16, 2021
Python

fredericoschardong / ffnet-single-hidden-layer-hyper-parameterization

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

Updated Mar 5, 2021
Python

machinedesign / grammaropt

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

Updated Jan 14, 2019
Python

SankethNagarajan / tracta_ml

Combined hyper-parameter optimization and feature selection for machine learning models using micro genetic algorithms

feature-selection model-selection hyper-parameter-optimization hyper-parameter-tuning

Updated Feb 13, 2018
Python

machinedesign / pipelineopt

Pipelineopt, sckit-learn automatic pipeline optimization

data-science machine-learning scikit-learn context-free-grammar automated-machine-learning hyper-parameter-optimization

Updated Sep 17, 2017
Python

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