Topic: "hyper-parameter-optimization"
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 at: 3 days ago - Pushed at: over 2 years ago - Stars: 2,278 - Forks: 317
open-edge-platform/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
Language: Python - Size: 416 MB - Last synced at: 1 day ago - Pushed at: 3 days ago - Stars: 1,162 - Forks: 449
THUMNLab/AutoGL
An autoML framework & toolkit for machine learning on graphs.
Language: Python - Size: 1.88 MB - Last synced at: 16 days ago - Pushed at: 9 months ago - Stars: 1,106 - Forks: 121
PKU-DAIR/open-box Fork of thomas-young-2013/open-box
Generalized and Efficient Blackbox Optimization System
Language: Python - Size: 17 MB - Last synced at: 23 days ago - Pushed at: 6 months ago - Stars: 403 - Forks: 54
cansyl/DEEPScreen
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
Language: Python - Size: 266 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 107 - Forks: 40
THUMNLab/awesome-auto-graph-learning
A paper collection about automated graph learning
Size: 112 KB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 96 - Forks: 7
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 at: 5 months ago - Pushed at: over 3 years ago - Stars: 52 - Forks: 8
timzatko/Sklearn-Nature-Inspired-Algorithms
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
Language: Python - Size: 475 KB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 28 - Forks: 9
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 at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 23 - Forks: 12
cebes/hyper-optimizer
Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt
Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 6 - 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 at: about 1 month ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 1
MoinDalvs/Assignment_Decision_Tree_1
Language: Jupyter Notebook - Size: 15 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 3 - 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 at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
melikabarzegaran/tavanyar-algorithm
Language: Kotlin - Size: 2.1 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0
machinedesign/grammaropt
Grammaropt : a framework for optimizing over domain specific languages (DSLs)
Language: Python - Size: 78.1 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1
machinedesign/pipelineopt
Pipelineopt, sckit-learn automatic pipeline optimization
Language: Python - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1
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 at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - 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 at: 5 days ago - Pushed at: over 2 years ago - Stars: 0 - 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 at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
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 at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
rhysstubbs/HPOExperimentResults
Hyper-Parameter Optimisation experiment as part of my undergraduate dissertation (2019)
Language: MATLAB - Size: 61.6 MB - Last synced at: 11 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 1
akshayc11/blog
Language: CSS - Size: 1.19 MB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0
