parameter-tuning

There are 4 repositories under parameter-tuning topic.

EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
machine-learning python data-science automl automation scikit-learn hyperparameter-optimization model-selection parameter-tuning automated-machine-learning random-forest gradient-boosting feature-engineering aiml alzheimer alzheimers nia u01ag066833 ag066833 adsp
Language:Python 9507
databricks / spark-sklearn
(Deprecated) Scikit-learn integration package for Apache Spark
apache-spark scikit-learn grid-search parameter-tuning machine-learning
Language:Python 1077
sberbank-ai-lab / LightAutoML
LAMA - automatic model creation framework
automl classification regression multiclass pytorch nlp model-selection parameter-tuning automated-machine-learning lama pipeline data-science feature-engineering ensembling stacking kaggle gradient-boosting linear-model blackbox whitebox
Language:Python 869
FEDOT
aimclub / FEDOT
Automated modeling and machine learning framework FEDOT
automl machine-learning evolutionary-algorithms genetic-programming structural-learning automated-machine-learning hyperparameter-optimization parameter-tuning automation multimodality fedot
Language:Python 606
cerlymarco / shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
feature-selection hyperparameter-optimization lightgbm model-selection parameter-tuning shap xgboost
Language:Jupyter Notebook 533
Hyperactive
SimonBlanke / Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
hyperparameter-optimization scikit-learn machine-learning python data-science parameter-tuning xgboost keras deep-learning bayesian-optimization parallel-computing neural-architecture-search automated-machine-learning optimization pytorch feature-engineering hyperactive model-selection
Language:Python 490
baggepinnen / Hyperopt.jl
Hyperparameter optimization in Julia.
hyperparameter-optimization optimization parameter-tuning bayesian-optimization random-sampling global-optimization hyperband bohb
Language:Julia 198
EpistasisLab / tpot2
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
adsp aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn ag066833 lm010098
Language:Jupyter Notebook 148
openmole / openmole
Workflow engine for exploration of simulation models using high throughput computing
scala workflow modeling-tool distributed-computing parameter-search scientific-computing workflow-engine grid parameter-tuning parameter-estimation egi dirac hyperparameters
Language:Scala 139
jfcg / sorty
:zap: Fast Concurrent / Parallel Sorting in Go
concurrency golang sorting parameter-tuning parallelism
Language:Go 131
kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
stock prediction predictive-modeling predictive-analysis guassian-processes svm-classifier knn-classifier adaboost decision-tree parameter-tuning gridsearchcv pipeline random-forest quadratic-discriminant-analysis logistic-regression algorithmic-trading stocks
Language:Jupyter Notebook 117
openmole / mgo
Purely functional genetic algorithms for multi-objective optimisation
genetic-algorithm scala optimisation functional-programming parameter-tuning hyperparameter-optimization hyperparameters hyperparameter-tuning
Language:Scala 71
aimclub / iOpt
Framework of intelligent optimization methods iOpt
global-optimization global-optimization-algorithms global-optimizers hyperparameter-optimization parameter-tuning
Language:Python 43
fugue-project / tune
An abstraction layer for parameter tuning
parameter-tuning hyperparameter-tuning hyperparameter-optimization machine-learning distributed-computing distributed distributed-systems
Language:Python 34
AlphaEx
AmiiThinks / AlphaEx
A Python Toolkit for Managing a Large Number of Experiments
experiment python parameter-tuning submitter computer-cluster
Language:Python 30
lasgroup / gosafeopt
Globally Safe Model-free Exploration of Dynamical Systems
bayesian-optimization parameter-tuning gosafeopt safe-exploration
Language:Python 22
eswar3 / Zillow-prediction-models
Machine Learning Project using Kaggle dataset
machine-learning xgboost-algorithm eda parameter-tuning scikit-learn scikitlearn-machine-learning numpy
Language:Jupyter Notebook 19
NikhilaThota / CapstoneProject_House_Prices_Prediction
Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.
python ridge-regression linear-regression data-visualization data-analysis datawrangling predictive-modeling machine-learning correlation standardization data-extraction data-exploration encoding-library regression-analysis lasso-regression regularization root-mean-squared-error-metric parameter-tuning cross-validation k-fold
Language:Jupyter Notebook 19
ssl-oyamata / postgres_opttune
Trying PostgreSQL parameter tuning using machine learning.
optuna postgresql oltpbenchmark pgbench tuning postgres-opttune parameter-tuning star-schema-benchmark
Language:Python 19
uob-positron-imaging-centre / ACCES-CoExSiST
Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.
simulation calibration optimization physics-simulation parameter-tuning parameter-estimation granular discrete-element-method computational-fluid-dynamics medical-imaging
Language:Python 13
souzamarcelo / acviz
Algorithm Configuration Visualizations for irace!
irace algorithm-configuration parameter-tuning visualization
Language:Python 10
Cheejyg / Genetic-Algorithms-for-Swarm-Parameter-Tuning
Swarming behaviour is based on aggregation of simple drones exhibiting basic instinctive reactions to stimuli. However, to achieve overall balanced/interesting behaviour the relative importance of these instincts, as well their internal parameters, must be tuned. In this project, you will learn how to apply Genetic Programming as means of such tuning, and attempt to achieve a series of non-trivial swarm-level behaviours.
genetics genetic-algorithms genetic-programming swarm swarm-intelligence parameter-tuning tuning tuning-parameters fyp final-year-project ntu nanyang-technological-university
Language:Python 9
etfovac / bpsk-ber
MATLAB simulation of a BPSK data transmission system with AWGN channel, and its benchmark against BER(SNR).
bpsk snr bpsk-ber ber awgn-channel matlab-simulation signal carrier-signal matlab parameter-tuning simulation
Language:MATLAB 9
watermark
etfovac / watermark
Robustness of DWT vs DCT is graded based on the quality of extracted watermark. The measure used is the Correlation coefficient (0-100%).
wavelet-transform cosine-transform digital-watermarking digital-watermark image-processing dct dwt correlation-coefficient matlab matlab-gui parameter-tuning simulation
Language:MATLAB 9
MainRo / xgbtune
a library to tune xgboost models
xgboost gradient-boosting machine-learning tuning-parameters parameter-tuning hyperparameter-optimization hyperparameter-tuning automl automl-algorithms
Language:Python 8
mansipatel2508 / Yelp-Review-Stars-Prediction-with-Machine-Learning
The project has text vectorization, handling big data with merging and cleaning the text and getting the required columns while boosting the performance by feature extraction and parameter tuning for NN, compares the Performances through applied different models treating the problem as classification and regression both.
classification data-cleaning data-preprocessing feature-extraction knn-classification linear-regression logistic-regression machine-learning machine-learning-algorithms machinelearning-python multinomial-naive-bayes neural-network parameter-tuning regression sklearn svm tensorflow text-processing text-vectorization tf-idf
Language:Jupyter Notebook 8
rudrajit1729 / Machine-Learning-Codes-And-Templates
Codes and templates for ML algorithms created, modified and optimized in Python and R.
datascience feature-extraction feature-selection regression-models regression-algorithms classification-algorithims kmeans-clustering hierarchical-clustering apriori-algorithm eclat-algorithm ucb thompson-sampling nlp-machine-learning ann cnn-classification kfold-cross-validation dimensionality-reduction xgboost-model parameter-tuning
Language:Python 8
WeiFoo / EasyOverHard
a case study on deep learning where tuning simple SVM is much faster and better than CNN
deep-learning parameter-tuning software-analysis
Language:Python 8
EhsanBaninajar / MPS-APO
MPS-APO is a rapid and automatic parameter optimizer for multiple-point geostatistics
mps multiple-point-statistics simulation spsa optimization parameter-tuning parameterization snesim filtersim image-quilting direct-sampling
Language:MATLAB 7
harsh1795 / Hackathons
Online Hackathons/Competitions
r python jupyter-notebook machine-learning competitions exploratory-data-analysis parameter-tuning statistics visualization
Language:Jupyter Notebook 7
hotaki-lab / Product-Review-Sentiment-Analysis
The goal of this project is to design a classifier to use for sentiment analysis of product reviews. Our training set consists of reviews written by Amazon customers for various food products. The reviews, originally given on a 5 point scale, have been adjusted to a +1 or -1 scale, representing a positive or negative review, respectively.
classification-algorithm pegasus perceptron average-perceptron hinge-loss parameter-tuning bag-of-words feature-engineering sentiment-analysis
Language:Python 7
sharmaroshan / Christiano-Ronaldo---Goal-Prediction-Top-40-
It is a Problem Which I got During the ZS Data Science Challenge From Interview Bit Hiring Challenge Where I secured a 40th Rank out of 10,000 Students across India. It is a Dataset which requires Intensive Cleaning and Processing. Here I have Performed Classification Using Random Forest Classifier and Used Hyper Tuning of the Parameters to achieve the Accuracy. I got a very Satisfiable Accuracy from the Model in both the Training and Testing Sets.
classification predicting-missing-values random-forest parameter-tuning target-encoding data-visualization data-cleaning data-analysis profiling machine-learning python jupyter-notebook
Language:Jupyter Notebook 7
ghimohammadr / Metaheuristics_SVR
The performance of SVR models highly depends upon the appropriate choice of SVR parameters. Here, different metaheuristic algorithms are used to tune the hyperparameters.
machine-learning parameter-tuning stock-market-prediction support-vector-regression
Language:MATLAB 6
sli1989 / svm-parameter-selection
svm parameter-tuning
Language:MATLAB 6
auto-optimization / iraceplot
The iraceplot package allows to plot configuration data obtained by configuration process performed by the irace configurator.
irace parameter-tuning cran r-package
Language:R 5
guillaume-giannantonio / bat-algorithm
A simple JavaScript library implementing the Bat Algorithm for optimization problems.
algorithm algorithmic-optimization bat-algorithm feature-selection function-optimization global-optimization javascript library mathematical-optimization metaheuristic metaheuristics nature-inspired-algorithms nodejs npm npm-package open-source optimization optimization-problem parameter-tuning bat-algorithm-optimization
Language:JavaScript 5

parameter-tuning

EpistasisLab / tpot

databricks / spark-sklearn

sberbank-ai-lab / LightAutoML

aimclub / FEDOT

cerlymarco / shap-hypetune

SimonBlanke / Hyperactive

baggepinnen / Hyperopt.jl

EpistasisLab / tpot2

openmole / openmole

jfcg / sorty

kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

openmole / mgo

aimclub / iOpt

fugue-project / tune

AmiiThinks / AlphaEx

lasgroup / gosafeopt

eswar3 / Zillow-prediction-models

NikhilaThota / CapstoneProject_House_Prices_Prediction

ssl-oyamata / postgres_opttune

uob-positron-imaging-centre / ACCES-CoExSiST

souzamarcelo / acviz

Cheejyg / Genetic-Algorithms-for-Swarm-Parameter-Tuning

etfovac / bpsk-ber

etfovac / watermark

MainRo / xgbtune

mansipatel2508 / Yelp-Review-Stars-Prediction-with-Machine-Learning

rudrajit1729 / Machine-Learning-Codes-And-Templates

WeiFoo / EasyOverHard

EhsanBaninajar / MPS-APO

harsh1795 / Hackathons

hotaki-lab / Product-Review-Sentiment-Analysis

sharmaroshan / Christiano-Ronaldo---Goal-Prediction-Top-40-

ghimohammadr / Metaheuristics_SVR

sli1989 / svm-parameter-selection

auto-optimization / iraceplot

guillaume-giannantonio / bat-algorithm