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