Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: hyper-parameter-optimization

timzatko/Sklearn-Nature-Inspired-Algorithms

Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.

Language: Python - Size: 475 KB - Last synced: 11 days ago - Pushed: 8 months ago - Stars: 28 - Forks: 9

openvinotoolkit/training_extensions

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

Language: Python - Size: 370 MB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 1,122 - Forks: 436

THUMNLab/awesome-auto-graph-learning

A paper collection about automated graph learning

Size: 104 KB - Last synced: 21 days ago - Pushed: 4 months ago - Stars: 89 - Forks: 6

PKU-DAIR/open-box Fork of thomas-young-2013/open-box

Generalized and Efficient Blackbox Optimization System

Language: Python - Size: 16.9 MB - Last synced: 25 days ago - Pushed: 26 days ago - Stars: 340 - Forks: 50

cansyl/DEEPScreen

DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images

Language: Python - Size: 266 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 107 - Forks: 40

THUMNLab/AutoGL

An autoML framework & toolkit for machine learning on graphs.

Language: Python - Size: 1.87 MB - Last synced: about 1 month ago - Pushed: 3 months ago - Stars: 1,068 - Forks: 117

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)

Language: Python - Size: 231 KB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 2,206 - Forks: 314

PKU-DAIR/mindware Fork of thomas-young-2013/mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Language: Python - Size: 62.9 MB - Last synced: 2 months ago - Pushed: over 2 years ago - Stars: 46 - Forks: 8

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

Language: Jupyter Notebook - Size: 1.07 MB - Last synced: 8 months ago - Pushed: almost 4 years ago - Stars: 23 - Forks: 12

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.

Language: Jupyter Notebook - Size: 250 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

machinedesign/pipelineopt

Pipelineopt, sckit-learn automatic pipeline optimization

Language: Python - Size: 11.7 KB - Last synced: 10 months ago - Pushed: over 6 years ago - Stars: 1 - Forks: 1

machinedesign/grammaropt

Grammaropt : a framework for optimizing over domain specific languages (DSLs)

Language: Python - Size: 78.1 KB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 2 - Forks: 1

MoinDalvs/Assignment_Decision_Tree_1

Language: Jupyter Notebook - Size: 15 MB - Last synced: over 1 year ago - Pushed: about 2 years ago - Stars: 4 - Forks: 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.

Language: Python - Size: 2.48 MB - Last synced: 7 days ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

cebes/hyper-optimizer

Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt

Language: Jupyter Notebook - Size: 1.42 MB - Last synced: about 2 months ago - Pushed: almost 7 years ago - Stars: 6 - Forks: 0

melikabarzegaran/tavanyar-algorithm

Language: Kotlin - Size: 2.1 MB - Last synced: over 1 year ago - Pushed: about 5 years ago - Stars: 2 - Forks: 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

Language: Python - Size: 2.41 MB - Last synced: about 2 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

SankethNagarajan/tracta_ml

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

Language: Python - Size: 32.2 KB - Last synced: 9 days ago - Pushed: over 6 years ago - Stars: 4 - Forks: 1

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

Language: Jupyter Notebook - Size: 1.03 MB - Last synced: over 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

e-baumer/pos

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

Language: Python - Size: 43 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

rhysstubbs/HPOExperimentResults

Hyper-Parameter Optimisation experiment as part of my undergraduate dissertation (2019)

Language: MATLAB - Size: 61.6 MB - Last synced: 14 days ago - Pushed: about 5 years ago - Stars: 0 - Forks: 1

akshayc11/blog

Language: CSS - Size: 1.19 MB - Last synced: 4 months ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 0

Related Keywords
hyper-parameter-optimization 22 machine-learning 11 deep-learning 6 data-science 5 hyper-parameter-tuning 5 python 4 neural-architecture-search 4 automl 4 bayesian-optimization 3 scikit-learn 3 blackbox-optimization 2 distributed-systems 2 graph-neural-networks 2 context-free-grammar 2 pytorch 2 optimization 2 automated-machine-learning 2 modelling 2 machinelearning-python 2 feature-engineering 2 classification 2 cross-validation 2 data-cleaning 2 eda 2 decision 1 decision-tree-classifier 1 nested-cross-validation 1 cost-complexity-pruning 1 hyperparameter-tuning 1 grammar-specification 1 post-pruning 1 knn-classification 1 pruning-optimization 1 investment 1 data-science-projects 1 portfolio 1 distance-functions 1 dynamic-programming 1 dynamic-time-warping 1 technology 1 science 1 blog 1 neuroevolution 1 matlab 1 particle-swarm-optimization 1 evaluation 1 begginer 1 model-selection 1 feature-selection 1 python3 1 hyper-parameter 1 hidden-layers 1 ffnet 1 feed-forward-neural-networks 1 thesis 1 subsequence-dynamic-time-warping 1 sakoe-chiba-band 1 pattern-recognition 1 normalization 1 multi-class-classification 1 movement-detection 1 linear-interpolation 1 keogh-lower-bounding 1 human-activity-recognition 1 confusion-matrix 1 2d-images-of-compounds 1 saas 1 multi-objective-optimization 1 constrained-optimization 1 automatic-machine-learning 1 graph 1 transfer-learning 1 semi-supervised-learning 1 self-supervised-learning 1 quantization 1 openvino 1 object-detection 1 neural-networks-compression 1 incremental-learning 1 image-segmentation 1 image-classification 1 datumaro 1 computer-vision 1 anomaly-detection 1 action-recognition 1 nature-inspired-algorithms 1 breast-cancer-prediction 1 evaluation-metrics 1 beginner 1 meta-learning 1 knobs-tuning 1 ensemble-learning 1 automl-pipeline 1 automl-algorithms 1 nas 1 awesome 1 autodl 1 pytorch-geometric 1 prediction-model 1 performance-evaluation 1