GitHub topics: parameter-tuning

Repositories

willweiao/MIP-Parameter-Tuning-with-Gurobi

This project explores learning-based parameter tuning for solving MIP problems with Gurobi，currently on hold due to limited dataset size and weak feature-runtime correlation.

Language: Jupyter Notebook - Size: 493 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

SimonBlanke/Hyperactive

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

Language: Python - Size: 30.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 522 - Forks: 49

DimitriWeiss/up-ac

Integration of algorithm configuration in the Unified Planning Framework

Language: Python - Size: 3.12 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 0 - Forks: 3

aimclub/FEDOT

Automated modeling and machine learning framework FEDOT

Language: Python - Size: 225 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 671 - Forks: 86

Pythoniasm/espminer-optim

A CLI-based tuner that runs multi-objective optimization on your ESPminer.

Language: Python - Size: 2.15 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 16 - Forks: 2

EpistasisLab/tpot

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

Language: Jupyter Notebook - Size: 87.2 MB - Last synced at: 8 days ago - Pushed at: 26 days ago - Stars: 9,908 - Forks: 1,578

openmole/openmole

Workflow engine for exploration of simulation models using high throughput computing

Language: Scala - Size: 151 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 144 - Forks: 39

openmole/mgo

Purely functional genetic algorithms for multi-objective optimisation

Language: Scala - Size: 3.48 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 72 - Forks: 5

EpistasisLab/tpot2

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

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 232 - Forks: 31

sberbank-ai-lab/LightAutoML 📦

LAMA - automatic model creation framework

Language: Python - Size: 23.4 MB - Last synced at: 9 days ago - Pushed at: about 3 years ago - Stars: 925 - Forks: 96

aimclub/iOpt

Framework of intelligent optimization methods iOpt

Language: Python - Size: 49.9 MB - Last synced at: 26 days ago - Pushed at: 30 days ago - Stars: 54 - Forks: 24

shallowManica/doc-layout-parser

A layout analysis pipeline using Detectron2 + Label Studio for extracting based on Fast R-CNN and annotating sections like abstract, table, figure, and references from academic PDFs

Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: 20 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

baggepinnen/Hyperopt.jl

Hyperparameter optimization in Julia.

Language: Julia - Size: 213 KB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 199 - Forks: 19

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 at: about 1 month ago - Pushed at: about 1 year ago - Stars: 576 - Forks: 73

LILY-QML/LLY-GP

LLY-GP is an estimated Language Quantum Model that can infer relationships between words based on input terms.

Language: Python - Size: 779 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 1

HAL-42/AlchemyCat

Alchemy Cat —— 🔥Config System for SOTA

Language: Python - Size: 4.18 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 115 - Forks: 7

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 at: 23 days ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 5

databricks/spark-sklearn 📦

(Deprecated) Scikit-learn integration package for Apache Spark

Language: Python - Size: 782 KB - Last synced at: 6 days ago - Pushed at: over 5 years ago - Stars: 1,079 - Forks: 228

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 at: 2 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

jfcg/sorty

:zap: Fast Concurrent / Parallel Sorting in Go

Language: Go - Size: 349 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 136 - Forks: 6

techut30/Hyperspectral-Image-Band-Selection-using-GWO

Hyperspectral band selection using Gray Wolf Optimization with KNN & Random Forest.

Language: Python - Size: 5.91 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Juninxz13/grpo-optuna

Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optuna

Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nofa8/StreamLitProject

StreamLit project with 2 root models and 2 transfer learning models, use of data augmentation

Language: Jupyter Notebook - Size: 326 MB - Last synced at: 1 day ago - Pushed at: 12 months ago - Stars: 1 - Forks: 1

auto-optimization/iraceplot

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

Language: R - Size: 292 MB - Last synced at: 25 days ago - Pushed at: 4 months ago - Stars: 5 - Forks: 2

fugue-project/tune

An abstraction layer for parameter tuning

Language: Python - Size: 414 KB - Last synced at: 8 days ago - Pushed at: 9 months ago - Stars: 35 - Forks: 3

sarahloree/Project-6---Stock-Market-News-Sentiment-Analysis-Summarization

This is the sixth and final project I completed as part of the Introduction to Natural Language Processing Module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.

Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

sushant1827/Temperature-Forecasting-using-IoT-Data

Discover how to harness the capabilities of the Meta (Facebook) Prophet model to accurately predict temperature fluctuations using data collected from IoT sensors.

Language: Jupyter Notebook - Size: 2.4 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

ai-se/magic101

Language: Python - Size: 2.18 MB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

lasgroup/gosafeopt

Globally Safe Model-free Exploration of Dynamical Systems

Language: Python - Size: 6.31 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 29 - Forks: 6

TrilokiDA/DT-classifier-parameters-tunning

Decision Tree Classifier Parameters Tunning with Streamlit app

Language: Python - Size: 2.93 KB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

OptiComp/OptiComp

Easily compare/benchmark optimizers on a custom or common objective.

Language: Python - Size: 836 KB - Last synced at: 26 days ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

RonaldoCD/2D-SLAM-SlamToolbox-TurtleBot3-ECN

Mapping a 500 m² Indoor Environment Using SlamToolbox and TurtleBot: 2D SLAM, SLAM parameter tuning

Language: CMake - Size: 15.5 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

mayajanvier/iLOVECLIM_HistoryMatching

Language: Jupyter Notebook - Size: 34.5 MB - Last synced at: 7 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

thangdang04/Analyze-data-in-a-marketing-campaign-database-using-Python

Data analysis project on a marketing campaign database using Python

Language: Jupyter Notebook - Size: 508 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

thangdang04/Analyze-data-in-an-expenditure-and-default-database-using-Python

Data analysis project on an expenditure and default database using Python

Language: Jupyter Notebook - Size: 289 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Prasun6736/Hyperparameter-Optimization

Implementation of hyperparameter optimization/tuning methods for machine learning models

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

SJWRD/Parameter_Optimiser-EA

Evolutionary Algorithm parameter optimisation template

Language: Python - Size: 15.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

arubiales/trees-models

Fast explication of different models based in trees

Language: Jupyter Notebook - Size: 36.4 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

arubiales/bayes_model

Fast explication of Gaussian NB

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

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 at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

eswar3/Zillow-prediction-models

Machine Learning Project using Kaggle dataset

Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 19 - Forks: 5

dvillacis/bimpcc

Solver for Bilevel Parameter Learning using a MPCC reformulation

Language: Python - Size: 301 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years 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 at: about 1 year ago - Pushed at: over 7 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 at: over 1 year ago - Pushed at: over 2 years 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 at: over 1 year ago - Pushed at: over 1 year 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 at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

maiwen/DeepTuning

Automated parameter tuning with deep reinforcement learning

Language: Python - Size: 3.49 MB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1

arubiales/SVM

Fast explication of SVM

Language: Jupyter Notebook - Size: 54.7 KB - Last synced at: about 1 year ago - Pushed at: over 5 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 at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

MainRo/xgbtune

a library to tune xgboost models

Language: Python - Size: 74.2 KB - Last synced at: 2 months ago - Pushed at: over 5 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 at: over 1 year ago - Pushed at: over 1 year 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 at: over 1 year ago - Pushed at: over 1 year 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 at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 1

AmiiThinks/AlphaEx

A Python Toolkit for Managing a Large Number of Experiments

Language: Python - Size: 603 KB - Last synced at: over 1 year ago - Pushed at: over 1 year 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 at: over 1 year ago - Pushed at: over 1 year 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 at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

caiocarneloz/scyred

Automatic sklearn parameter tuning with bio-inspired algorithms

Language: Python - Size: 6.84 KB - Last synced at: 14 days ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

rajveer43/llm_tutorials

Tutorials on how to use language models

Language: Jupyter Notebook - Size: 3.09 MB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

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 at: over 1 year ago - Pushed at: almost 3 years 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 at: over 1 year ago - Pushed at: over 4 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 at: over 1 year ago - Pushed at: over 7 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 at: over 1 year ago - Pushed at: almost 6 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 at: over 1 year ago - Pushed at: over 7 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 at: over 1 year ago - Pushed at: about 5 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 at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 8

harsh1795/Hackathons

Online Hackathons/Competitions

Language: Jupyter Notebook - Size: 86.5 MB - Last synced at: over 1 year ago - Pushed at: over 4 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 at: over 1 year ago - Pushed at: almost 6 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 at: 3 months ago - Pushed at: over 1 year 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 at: over 1 year ago - Pushed at: over 1 year 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 at: 8 days ago - Pushed at: over 1 year 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 at: over 1 year ago - Pushed at: almost 4 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 at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

Anjuharidas4/Tableau

UK Bank, WeWashUSleep

Size: 69.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year 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 at: 3 months ago - Pushed at: almost 3 years 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 at: almost 2 years ago - Pushed at: over 4 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 at: almost 2 years ago - Pushed at: over 7 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 at: almost 2 years ago - Pushed at: about 4 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 at: almost 2 years ago - Pushed at: almost 8 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 at: almost 2 years ago - Pushed at: over 6 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 at: almost 2 years ago - Pushed at: about 7 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 at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

arubiales/Linear-and-Logistic-regression

Fast explication of linear models

Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 3

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 at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1