hyper-parameter-optimization

There are 1 repository under hyper-parameter-optimization topic.

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)
neural-architecture-search nas automl deep-learning awesome autodl hyper-parameter-optimization
Language:Python 2321
open-edge-platform / training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
openvino computer-vision deep-learning pytorch neural-networks-compression quantization hyper-parameter-optimization image-classification image-segmentation object-detection self-supervised-learning semi-supervised-learning transfer-learning action-recognition anomaly-detection datumaro automl machine-learning incremental-learning geti
Language:Python 1203
THUMNLab / AutoGL
An autoML framework & toolkit for machine learning on graphs.
automl deep-learning graph-neural-networks hyper-parameter-optimization machine-learning neural-architecture-search pytorch pytorch-geometric
Language:Python 1122
PKU-DAIR / open-box
Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)
blackbox-optimization bayesian-optimization constrained-optimization multi-objective-optimization hyper-parameter-optimization automatic-machine-learning distributed-systems saas
Language:Python 428
cansyl / DEEPScreen
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
drug-discovery drug-repurposing machine-learning deep-learning convolutional-neural-networks 2d-images-of-compounds drug-target-interactions prediction-model bioinformatics cheminformatics hyper-parameter-optimization performance-evaluation command-line-tool
Language:Python 114
THUMNLab / awesome-auto-graph-learning
A paper collection about automated graph learning
automl deep-learning graph graph-neural-networks hyper-parameter-optimization machine-learning neural-architecture-search
97
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 data-science automl-pipeline automl-algorithms blackbox-optimization bayesian-optimization knobs-tuning hyper-parameter-optimization neural-architecture-search distributed-systems ensemble-learning meta-learning machine-learning deep-learning
Language:Python 58
timzatko / Sklearn-Nature-Inspired-Algorithms
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
python data-science nature-inspired-algorithms hyper-parameter-optimization hyper-parameter-tuning scikit-learn
Language:Python 30
sharmaroshan / Students-Performance-Analytics
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
feature-engineering machinelearning-python data-cleaning eda beginner classification evaluation-metrics cross-validation hyper-parameter-optimization modelling
Language:Jupyter Notebook 29
cebes / hyper-optimizer
Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt
hyper-parameter-optimization hyper-parameter-tuning bayesian-optimization machine-learning python
Language:Jupyter Notebook 6
SankethNagarajan / tracta_ml
Combined hyper-parameter optimization and feature selection for machine learning models using micro genetic algorithms
hyper-parameter-optimization hyper-parameter-tuning feature-selection model-selection
Language:Python 4
e-baumer / pos
A gradient free optimization routine which combines Particle Swarm Optimization with a local optimization for each particle
hyper-parameter-optimization hyper-parameter-tuning optimization particle-swarm-optimization
Language:Python 3
MoinDalvs / Assignment_Decision_Tree_1
data-science decision cost-complexity-pruning decision-tree-classifier hyper-parameter-optimization hyperparameter-tuning post-pruning pruning-optimization
Language:Jupyter Notebook 3
machinedesign / grammaropt
Grammaropt : a framework for optimizing over domain specific languages (DSLs)
context-free-grammar grammar-specification machine-learning scikit-learn data-science hyper-parameter-optimization automated-machine-learning
Language:Python 2
melikabarzegaran / tavanyar-algorithm
thesis pattern-recognition human-activity-recognition movement-detection dynamic-time-warping subsequence-dynamic-time-warping dynamic-programming normalization distance-functions sakoe-chiba-band linear-interpolation keogh-lower-bounding multi-class-classification hyper-parameter-optimization
Language:Kotlin 2
machinedesign / pipelineopt
Pipelineopt, sckit-learn automatic pipeline optimization
context-free-grammar machine-learning scikit-learn data-science hyper-parameter-optimization automated-machine-learning
Language:Python 1
akshayc11 / blog
blog science technology machine-learning hyper-parameter-optimization
Language:CSS 0
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.
hyper-parameter-optimization investment optimization portfolio
Language:Python 0
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 ffnet feed-forward-neural-networks hidden-layers hyper-parameter-optimization hyper-parameter
Language:Python 0
HealthyData-Hub / Diagnosis-of-Breast-Cancer
To utilize the Breast Cancer Wisconsin Dataset for machine learning purposes. The aim is to diagnose breast cancer by employing a supervised binary, distance-based classifier (K Nearest Neighbours), which will classify cases as either benign or malignant.
breast-cancer-prediction confusion-matrix data-science-projects hyper-parameter-optimization knn-classification machine-learning nested-cross-validation
Language:Jupyter Notebook 0
Religious-downeaster605 / student-grade-analysis
🎓 Analyze and predict student academic performance using socio-economic and behavioral factors with Python, enhancing educational decision-making.
classification dataset evaluation-metrics grade-analysis hyper-parameter-optimization javascript machinelearning-python material-design material-ui mini-project ml-project modelling prediction react-router-dom recharts redux student-grades typescript
Language:Jupyter Notebook
rhysstubbs / HPOExperimentResults
Hyper-Parameter Optimisation experiment as part of my undergraduate dissertation (2019)
hyper-parameter-optimization neuroevolution hyper-parameter-tuning machine-learning matlab
Language:MATLAB
teja0508 / Students-Performance-Analytics
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at lat applying Classification Algorithms from Machine Learning to Separate Students with different grades
feature-engineering machinelearning-python data-cleaning classification cross-validation modelling hyper-parameter-optimization eda begginer evaluation
Language:Jupyter Notebook

hyper-parameter-optimization

D-X-Y / Awesome-AutoDL

open-edge-platform / training_extensions

THUMNLab / AutoGL

PKU-DAIR / open-box

cansyl / DEEPScreen

THUMNLab / awesome-auto-graph-learning

PKU-DAIR / mindware

timzatko / Sklearn-Nature-Inspired-Algorithms

sharmaroshan / Students-Performance-Analytics

cebes / hyper-optimizer

SankethNagarajan / tracta_ml

e-baumer / pos

MoinDalvs / Assignment_Decision_Tree_1

machinedesign / grammaropt

melikabarzegaran / tavanyar-algorithm

machinedesign / pipelineopt

akshayc11 / blog

faprieto96 / pipoh

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

HealthyData-Hub / Diagnosis-of-Breast-Cancer

Religious-downeaster605 / student-grade-analysis

rhysstubbs / HPOExperimentResults

teja0508 / Students-Performance-Analytics