EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Language: Python - Size: 76.1 MB - Last synced: 1 day ago - Pushed: 16 days ago - Stars: 9,540 - Forks: 1,547

sberbank-ai-lab/LightAutoML 📦

LAMA - automatic model creation framework

Language: Python - Size: 23.4 MB - Last synced: 3 days ago - Pushed: about 2 years ago - Stars: 882 - Forks: 92

SimonBlanke/Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

Language: Python - Size: 30.4 MB - Last synced: 13 days ago - Pushed: 14 days ago - Stars: 493 - Forks: 41

EpistasisLab/tpot2

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Language: Jupyter Notebook - Size: 5.44 MB - Last synced: 13 days ago - Pushed: 14 days ago - Stars: 151 - Forks: 22

auto-optimization/iraceplot

The iraceplot package allows to plot configuration data obtained by configuration process performed by the irace configurator.

Language: R - Size: 280 MB - Last synced: 15 days ago - Pushed: 16 days ago - Stars: 5 - Forks: 1

aimclub/iOpt

Framework of intelligent optimization methods iOpt

Language: Python - Size: 49.9 MB - Last synced: 15 days ago - Pushed: 16 days ago - Stars: 43 - Forks: 22

cerlymarco/shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

Language: Jupyter Notebook - Size: 122 KB - Last synced: 8 days ago - Pushed: 3 months ago - Stars: 536 - Forks: 70

jfcg/sorty

:zap: Fast Concurrent / Parallel Sorting in Go

Language: Go - Size: 349 KB - Last synced: 19 days ago - Pushed: 20 days ago - Stars: 131 - Forks: 6

arubiales/trees-models

Fast explication of different models based in trees

Language: Jupyter Notebook - Size: 36.4 MB - Last synced: 29 days ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

arubiales/bayes_model

Fast explication of Gaussian NB

Language: Jupyter Notebook - Size: 10.7 KB - Last synced: 29 days ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

openmole/mgo

Purely functional genetic algorithms for multi-objective optimisation

Language: Scala - Size: 3.23 MB - Last synced: 29 days ago - Pushed: 30 days ago - Stars: 71 - Forks: 3

openmole/openmole

Workflow engine for exploration of simulation models using high throughput computing

Language: Scala - Size: 149 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 139 - Forks: 37

rajveer43/llm_tutorials

Tutorials on how to use language models

Language: Jupyter Notebook - Size: 3.09 MB - Last synced: about 1 month ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

databricks/spark-sklearn 📦

(Deprecated) Scikit-learn integration package for Apache Spark

Language: Python - Size: 782 KB - Last synced: 20 days ago - Pushed: over 4 years ago - Stars: 1,077 - Forks: 231

kisimoff/Lunar_Lander

Java, R, OpenRefine | An evolutionary algorithm for a lunar lander using random and grid search for parameter tuning in combination with R for analyzing the results and relationships.

Language: Java - Size: 18.9 MB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

eswar3/Zillow-prediction-models

Machine Learning Project using Kaggle dataset

Language: Jupyter Notebook - Size: 2.2 MB - Last synced: about 2 months ago - Pushed: over 5 years ago - Stars: 19 - Forks: 5

aimclub/FEDOT

Automated modeling and machine learning framework FEDOT

Language: Python - Size: 223 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 602 - Forks: 82

fugue-project/tune

An abstraction layer for parameter tuning

Language: Python - Size: 407 KB - Last synced: 9 days ago - Pushed: about 1 year ago - Stars: 34 - Forks: 3

mayajanvier/iLOVECLIM_HistoryMatching

Language: Jupyter Notebook - Size: 34.5 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

baggepinnen/Hyperopt.jl

Hyperparameter optimization in Julia.

Language: Julia - Size: 213 KB - Last synced: 9 days ago - Pushed: 7 months ago - Stars: 198 - Forks: 20

dvillacis/bimpcc

Solver for Bilevel Parameter Learning using a MPCC reformulation

Language: Python - Size: 301 KB - Last synced: 2 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

shubhankar90/Sklearn-type-class-for-multiple-algorithm-testing

An sklearn type class for testing multiple models on data with sequential hyper-parameter tuning for the models

Language: Python - Size: 23.4 KB - Last synced: 3 months ago - Pushed: over 6 years ago - Stars: 2 - Forks: 0

aduale04/Pom_merman

this project enhances the MCTS agent in Pommerman with three types of AMAF heuristics. Comparisons by win rate against other agents are made among the three, and we also tune the parameters including ɑ, C (in the UCB1 function) and rollout depth to further improve win rate.

Language: Java - Size: 376 KB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

T22sri/Personality_Recognition_NLP

Personality Recognition from text using nlp techniques

Language: Jupyter Notebook - Size: 6.14 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

vijay06/Scikit-learn

In Repository you can find various problem solved using machine learning algorithm like Regression,Classification,Clustering and Performance Tunning with Scikit-Learn

Language: Jupyter Notebook - Size: 3.96 MB - Last synced: 4 months ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0

arubiales/SVM

Fast explication of SVM

Language: Jupyter Notebook - Size: 54.7 KB - Last synced: 29 days ago - Pushed: over 4 years ago - Stars: 1 - Forks: 1

anshul1004/MachineLearningClassificationModels

Implementation of various machine learning models in scikit-learn

Language: Jupyter Notebook - Size: 225 KB - Last synced: 6 months ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

MainRo/xgbtune

a library to tune xgboost models

Language: Python - Size: 74.2 KB - Last synced: 25 days ago - Pushed: over 4 years ago - Stars: 8 - Forks: 1

roman91DE/geneticAlgorithms4j

Genetic Algorithms in Java. Easy to use and extensible by design

Language: Java - Size: 87 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

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%).

Language: MATLAB - Size: 3.23 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 9 - Forks: 3

guillaume-giannantonio/bat-algorithm

A simple JavaScript library implementing the Bat Algorithm for optimization problems.

Language: JavaScript - Size: 203 KB - Last synced: 26 days ago - Pushed: 11 months ago - Stars: 5 - Forks: 1

AmiiThinks/AlphaEx

A Python Toolkit for Managing a Large Number of Experiments

Language: Python - Size: 603 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 30 - Forks: 2

nazgol-nikravesh/DEPTs

DEPTs: Parameter tuning for software fault prediction with different variants of differential evolution *** Parameter tuners for software analytics problems ***

Language: Python - Size: 0 Bytes - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

prakashjha1/Loan-Eligibility-Prediction

This repository contains the codebase and resources for a machine learning-based project aimed at predicting loan eligibility for individuals. The project utilizes various algorithms and data preprocessing techniques to build predictive models that assess the likelihood of an applicant being eligible for a loan based on historical data.

Language: Jupyter Notebook - Size: 522 KB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

caiocarneloz/scyred

Automatic sklearn parameter tuning with bio-inspired algorithms

Language: Python - Size: 6.84 KB - Last synced: about 1 month ago - Pushed: about 4 years ago - Stars: 3 - Forks: 0

uob-positron-imaging-centre/ACCES-CoExSiST

Learning simulation parameters from experimental data, from the micro to the macro, from laptops to clusters.

Language: Python - Size: 17.8 MB - Last synced: about 2 months ago - Pushed: 6 months ago - Stars: 13 - Forks: 3

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

Language: Jupyter Notebook - Size: 2.38 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 109 - Forks: 37

venkatesh-eranti/Decision_Tree-Regressor

Boston Housing Price prediction and comparison of evaluation metrics by using Decision tree regressor algorithm and tuning parameters by using GridSearchCV (with different parameters like Criterion, Max depth, min samples split and min samples leaf ...)

Language: Jupyter Notebook - Size: 394 KB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

NikhilaThota/Classification_Logistic_Regression_

Logistic Regression in Python is used to study the classification problem of heights & weights in men and women

Language: Jupyter Notebook - Size: 448 KB - Last synced: 7 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.08 MB - Last synced: 7 months ago - Pushed: almost 5 years ago - Stars: 7 - Forks: 1

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.

Language: Jupyter Notebook - Size: 7.91 MB - Last synced: 7 months ago - Pushed: over 6 years ago - Stars: 18 - Forks: 13

EhsanBaninajar/MPS-APO

MPS-APO is a rapid and automatic parameter optimizer for multiple-point geostatistics

Language: MATLAB - Size: 2.23 MB - Last synced: 7 months ago - Pushed: about 4 years ago - Stars: 6 - Forks: 2

SanyaGoyal/Allstate-Insurance-Predicting-Claim-Severity-Xgboost-ML

This is a solution to a Kaggle competition on predicting claim severity for Allstate Insurance using the Extreme Gradient Boosting (XgBoost) algorithm in R

Language: R - Size: 17.1 MB - Last synced: 7 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 8

harsh1795/Hackathons

Online Hackathons/Competitions

Language: Jupyter Notebook - Size: 86.5 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 7 - Forks: 2

pankush9096/House-Prices-Advanced-Regression-Techniques

This is Kaggle challenge for house prediction, it has alot of missing values which needs to be cleaned. i have used Regression ,Boosting, and Deep Neural network and tuning them.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced: 8 months ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 1

Quantisan/itune

i tune your parameters so you don't have to

Language: Python - Size: 154 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 2 - Forks: 0

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.

Language: MATLAB - Size: 440 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 2 - Forks: 0

fx2y/densim

Densim is a library for efficient similarity search and clustering of dense vectors, which are numerical representations of data such as images, text, or audio.

Language: Python - Size: 7.81 KB - Last synced: 4 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 2.79 MB - Last synced: 8 months ago - Pushed: almost 3 years ago - Stars: 5 - Forks: 3

sg-s/model

Elegant Mathematica-style model manipulation, fitting and exploration in MATLAB.

Language: Matlab - Size: 3.2 MB - Last synced: 9 months ago - Pushed: over 6 years ago - Stars: 2 - Forks: 1

Anjuharidas4/Tableau

UK Bank, WeWashUSleep

Size: 69.3 KB - Last synced: 4 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

omonimus1/rocket_landing

🚀 CNN Parameter Tuning for Rocket Landing system - Coursework of Computation Intelligence at Napier University

Language: Java - Size: 686 KB - Last synced: 29 days ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

Unnati20/MAG-Citations Fork of UNCG-DAISY/MAG-Citations

MAG Data Exploration and Predict Citations

Language: Jupyter Notebook - Size: 918 KB - Last synced: 9 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

WeiFoo/EasyOverHard

a case study on deep learning where tuning simple SVM is much faster and better than CNN

Language: Python - Size: 22.1 MB - Last synced: 9 months ago - Pushed: over 6 years ago - Stars: 6 - Forks: 3

lyj555/MachineLearningProcess

主要包含ModelHelper和NLPHelper，其中ModelHelper主要有特征选择、超参数搜索、模型解释和模型融合等，NLPHelper则是进一步封装了NLP一些常用的操作，常用的网络结构以及几个NLP的任务

Language: Python - Size: 5.66 MB - Last synced: 10 months ago - Pushed: about 3 years ago - Stars: 2 - Forks: 0

jakobgerstenlauer/SVN_versus_RVM

We compared the predictive accuracy and sparsity of support vector machines and relevance vector machines for a range of synthetic data sets differing in signal-to-noise ratio and other measures of difficulty.

Language: R - Size: 225 KB - Last synced: 10 months ago - Pushed: almost 7 years ago - Stars: 0 - Forks: 3

xujiachang1024/MDP-Pac-Man

Design and Implementation of Pac-Man Strategies with Embedded Markov Decision Process in a Dynamic, Non-Deterministic, Fully Observable Environment

Language: Python - Size: 2.46 MB - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 1 - Forks: 1

arjunrajpal/ParameterTuning

Tuning of parameters of ML algorithms to optimise precision/f-score for fault detection in softwares

Language: Python - Size: 12.9 MB - Last synced: 10 months ago - Pushed: almost 6 years ago - Stars: 2 - Forks: 4

CherylYul/spacex-first-stage-landing-prediction

Predict SpaceX first stage landing status, part of IBM data science professional capstone project

Language: Jupyter Notebook - Size: 2.85 MB - Last synced: 10 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

arubiales/Linear-and-Logistic-regression

Fast explication of linear models

Language: Jupyter Notebook - Size: 39.1 KB - Last synced: 29 days ago - Pushed: over 4 years ago - Stars: 1 - Forks: 3

AdirthaBorgohain/LSTM-Classifier-with-Hyperparameter-Tuning

A simple bidirectional LSTM Classifier to classify sentiments on a text. Hyperparameter tuning is done using Randomized CV Search to find best parameters for the deep learning model.

Language: Jupyter Notebook - Size: 9.98 MB - Last synced: 10 months ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0

TelRich/GOT_Character_Death_Prediction

This is a Premiere Project done by Team Gitlab in Hamoye Data Science Program Dec'22. Out of 5 models used on the data, Random Forest Classifier was used to further improve the prediction of characters death. With parameter tuning and few cross validation, we were able to reduce the base error by 5.42% and increase accuracy by 2,42%.

Language: Jupyter Notebook - Size: 6.68 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 1 - Forks: 1

cympfh/Hake

Hake is a slight wrapper of Make.

Language: Rust - Size: 36.1 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

etfovac/iir_bpf

IIR Band Pass Filter, modelled in MATLAB

Language: MATLAB - Size: 2.14 MB - Last synced: 4 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

tkimhofer/msbrowser

An RShiny dashboard for visualisation of mass spectrometry (MS) data and fine-tuning of xcms pre-processing parameters

Language: R - Size: 88.4 MB - Last synced: 10 months ago - Pushed: over 3 years ago - Stars: 4 - Forks: 2

HoffDaniel/MSc_Final_Project

MSc Final Project: Development of a management system for visualisation exploration, and comparison of nature inspired optimisation algorithms.

Language: C# - Size: 2.93 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

NilBeserler/FaceRecognition_CNN-COGS181_Final-

Parameter tuning and Architecture Design for Face Recognition using Convolutional Neural Networks

Language: Jupyter Notebook - Size: 840 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

AlgoMathITMO/modulairty_research Fork of TimaGradov/modulairty_research

Composite modularity and parameter tuning in the Weight-Based Fusion Model for community detection in node-attributed social networks.

Language: Jupyter Notebook - Size: 1.51 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

sli1989/svm-parameter-selection

Language: Matlab - Size: 8.32 MB - Last synced: 12 months ago - Pushed: almost 6 years ago - Stars: 4 - Forks: 1

Pradnya1208/Walmart-store-sales-prediction

This project aims to forecast the weekly sales of Walmart stores across the USA.

Language: Jupyter Notebook - Size: 5.4 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 1

rudrajit1729/Machine-Learning-Codes-And-Templates

Codes and templates for ML algorithms created, modified and optimized in Python and R.

Language: Python - Size: 21 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 4 - Forks: 3

hoyirul/parameter-tunning-python

mengetahui apa itu data training dan apa itu data testing. Selain itu, kita juga telah mempraktikkan bagaimana cara melakukan pembagian (*splitting*) antara data training dan data testing menggunakan berbagai rasio

Language: Jupyter Notebook - Size: 450 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

afkummer/brkga-mp-ipr-hhcrsp-2021

Source code and experiment logs for the BRKGA-MP-IPR applied to the daily home health care problem

Language: C++ - Size: 12.1 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

etfovac/bpsk-ber

MATLAB simulation of a BPSK data transmission system with AWGN channel, and its benchmark against BER(SNR).

Language: MATLAB - Size: 1.22 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 6 - Forks: 0

marcovirgolin/coeffmut_gpgomea

Code to reproduce paper by Virgolin and Bosman "Coefficient mutation in the gene-pool optimal mixing evolutionary algorithm for symbolic regression" 2022

Language: Jupyter Notebook - Size: 45.9 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

Valavanca/compositional-system-for-hyperparameter-tuning

:herb: Introduce surrogate based-optimization beside evolutionary algorithms that can significantly influence on the effort being spent for multi-objective parameter tuning

Language: TeX - Size: 635 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 3 - Forks: 2

souzamarcelo/acviz

Algorithm Configuration Visualizations for irace!

Language: Python - Size: 2.58 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 9 - Forks: 1

tyedem/Machine-Learning-Trading-Bot

Backtesting machine learning trading strategies with multiple supervised learning models and tunings for maximum profitability

Language: Jupyter Notebook - Size: 10.4 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

baania/impute-pipelines-example

Language: Jupyter Notebook - Size: 7.91 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

tono-satolab/atpqc-cuda

Automatic Tuning for Post-Quantum Cryptography on CUDA, based on MLWE problems.

Language: Cuda - Size: 51.8 KB - Last synced: 9 months ago - Pushed: over 3 years ago - Stars: 4 - Forks: 2

YevheniiSemendiak/tud_master_text

Online selection hyper-heuristic with generic parameter control in low-level heuristics (meta-heuristic).

Language: TeX - Size: 42.9 MB - Last synced: 4 months ago - Pushed: about 4 years ago - Stars: 3 - Forks: 0

Jimlibo/Speech-Emotion-Classifier

A complete pipeline that performs emotion classification on Greek audio files

Language: Jupyter Notebook - Size: 326 MB - Last synced: 11 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Huy0720/Hate-Speech-Classification

Hate Speech Classification using ML Models

Size: 59.6 KB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

dtote/tfg-optimization-of-simulation-model-for-resource-planning-in-hospitals

Language: TypeScript - Size: 8.96 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

irtiza7/Machine-Learning

Implementation of deep learning and transfer learning models.

Language: Jupyter Notebook - Size: 592 KB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

homarques/SDS-hyperparameter-selection

Hyperparameter selection of one-class support vector machine by self-adaptive data shifting

Language: MATLAB - Size: 1.99 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 2 - Forks: 1

ZhengtongYan/qtune-mysql Fork of zhouxh19/qtune-mysql

Collaborated with Guoliang Li, Jiesi Liu, and Jianming Wu

Size: 6.31 MB - Last synced: 11 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

ZhengtongYan/CDBTune Fork of HustAIsGroup/CDBTune

Size: 3.05 MB - Last synced: 11 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

ssl-oyamata/postgres_opttune

Trying PostgreSQL parameter tuning using machine learning.

Language: Python - Size: 1.15 MB - Last synced: over 1 year ago - Pushed: about 3 years ago - Stars: 12 - Forks: 3

afkummer/gecco2020-brkga

BRKGA for the Home Health Care Routing and Scheduling Problem

Language: C++ - Size: 16.8 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

chungshan/Drone_parameter_tuning

Tuning drone's parameters by Bayesian optimization

Language: Python - Size: 3.66 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 1

wanglongqi/eptune

EPTune: Parameter Tuning using Evolutionary Algorithm.

Language: Jupyter Notebook - Size: 1.55 MB - Last synced: 17 days ago - Pushed: over 3 years ago - Stars: 2 - Forks: 0

bnarath/find_Exoplanet

This project is to help NASA in discovering hidden planets outside of our solar system using the data collected from NASA Kepler space telescope over nine years. To make it happen, we will create machine learning models capable of classifying candidate exoplanets from the raw dataset.

Language: Jupyter Notebook - Size: 2.33 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

umairnsr87/Hitachi-DataEngineer-Challenge-HackerEarth

To predict the volume of the people who will abroad the train so that the resources are properly arranged.

Language: Jupyter Notebook - Size: 4.01 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

NeerajSahani/Used-Cars-Price-Prediction

Predict Market value of used cars

Language: Jupyter Notebook - Size: 113 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

trajkd/Finding-Lane-Lines-on-the-Road

Finding Lane Lines on the Road (project 1 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

Language: HTML - Size: 52.9 MB - Last synced: about 1 year ago - Pushed: about 4 years ago - Stars: 0 - Forks: 3

LawrenceMMStewart/Bayesian_Optimization

Bayesian Optimisation for Parameter Tuning of the XOR Neural Network

Language: Julia - Size: 553 KB - Last synced: 11 months ago - Pushed: almost 5 years ago - Stars: 3 - Forks: 0

MotiBaadror/Classification-and-Model-Selection

Model selection to get high accuracy on classification

Language: Jupyter Notebook - Size: 11.8 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

nglthu/Data-Mining-Machine-Learning

Resample, parameter tuning, meta-learning, clustering, and mining algorithms for the purpose of data mining and machine learning.

Language: R - Size: 3.89 MB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 2 - Forks: 0

merveozdemir/Regression_with_different_types

This is a machine learning lecture project about regress the data with the best regression model

Language: Jupyter Notebook - Size: 1.88 MB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0