Projects in Awesome Lists tagged with parameter-tuning

https://github.com/epistasislab/tpot

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

adsp ag066833 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 u01ag066833

Last synced: 12 May 2025

https://github.com/EpistasisLab/tpot

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

adsp ag066833 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 u01ag066833

Last synced: 14 Mar 2025

https://epistasislab.github.io/tpot/

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

adsp ag066833 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 u01ag066833

Last synced: 05 May 2025

https://github.com/databricks/spark-sklearn

(Deprecated) Scikit-learn integration package for Apache Spark

apache-spark grid-search machine-learning parameter-tuning scikit-learn

Last synced: 30 Sep 2025

https://github.com/sberbank-ai-lab/LightAutoML

LAMA - automatic model creation framework

automated-machine-learning automl blackbox classification data-science ensembling feature-engineering gradient-boosting kaggle lama linear-model model-selection multiclass nlp parameter-tuning pipeline pytorch regression stacking whitebox

Last synced: 19 Jul 2025

https://github.com/aimclub/FEDOT

Automated modeling and machine learning framework FEDOT

automated-machine-learning automation automl evolutionary-algorithms fedot genetic-programming hyperparameter-optimization machine-learning multimodality parameter-tuning structural-learning

Last synced: 18 Apr 2025

https://github.com/simonblanke/hyperactive

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

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 14 May 2025

https://github.com/SimonBlanke/Hyperactive

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

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 05 Apr 2025

https://github.com/baggepinnen/Hyperopt.jl

Hyperparameter optimization in Julia.

bayesian-optimization bohb global-optimization hyperband hyperparameter-optimization optimization parameter-tuning random-sampling

Last synced: 15 Mar 2025

https://github.com/baggepinnen/hyperopt.jl

Hyperparameter optimization in Julia.

bayesian-optimization bohb global-optimization hyperband hyperparameter-optimization optimization parameter-tuning random-sampling

Last synced: 26 Jan 2026

https://github.com/epistasislab/tpot2

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

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization lm010098 machine-learning model-selection nia parameter-tuning python random-forest scikit-learn

Last synced: 09 Apr 2025

https://github.com/openmole/openmole

Workflow engine for exploration of simulation models using high throughput computing

dirac distributed-computing egi grid hyperparameters modeling-tool parameter-estimation parameter-search parameter-tuning scala scientific-computing workflow workflow-engine

Last synced: 11 Oct 2025

https://github.com/jfcg/sorty

:zap: Fast Concurrent / Parallel Sorting in Go

concurrency golang parallelism parameter-tuning sorting

Last synced: 11 May 2025

https://github.com/hal-42/alchemycat

Alchemy Cat —— 🔥Config System for SOTA

auto-tuning computer-vision config deep-learning machine-learning parameter-tuning

Last synced: 14 Jan 2026

https://github.com/openmole/mgo

Purely functional genetic algorithms for multi-objective optimisation

functional-programming genetic-algorithm hyperparameter-optimization hyperparameter-tuning hyperparameters optimisation parameter-tuning scala

Last synced: 07 Apr 2025

https://github.com/fugue-project/tune

An abstraction layer for parameter tuning

distributed distributed-computing distributed-systems hyperparameter-optimization hyperparameter-tuning machine-learning parameter-tuning

Last synced: 01 Jul 2025

https://github.com/eswar3/Zillow-prediction-models

Machine Learning Project using Kaggle dataset

eda machine-learning numpy parameter-tuning scikit-learn scikitlearn-machine-learning xgboost-algorithm

Last synced: 15 Mar 2025

https://github.com/mainro/xgbtune

a library to tune xgboost models

automl automl-algorithms gradient-boosting hyperparameter-optimization hyperparameter-tuning machine-learning parameter-tuning tuning-parameters xgboost

Last synced: 02 Apr 2026

https://github.com/MainRo/xgbtune

a library to tune xgboost models

automl automl-algorithms gradient-boosting hyperparameter-optimization hyperparameter-tuning machine-learning parameter-tuning tuning-parameters xgboost

Last synced: 20 Nov 2025

https://github.com/auto-optimization/iraceplot

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

cran irace parameter-tuning r-package

Last synced: 22 Oct 2025

https://github.com/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.

keras lstm-neural-networks parameter-tuning rnn sentiment-analysis

Last synced: 30 Apr 2026

https://github.com/caiocarneloz/scyred

Automatic sklearn parameter tuning with bio-inspired algorithms

bio-inspired library parameter-tuning scikit-learn

Last synced: 17 Feb 2026

https://github.com/omonimus1/rocket_landing

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

cnn convolutional-neural-networks napier-university parameter-tuning

Last synced: 17 Mar 2025

https://github.com/sushantdhumak/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.

data-visualization exploratory-data-analysis feature-engineering iot kaggle-challenge parameter-tuning prophet-facebook-model temperature-sensor time-series-analysis time-series-forecasting

Last synced: 26 Mar 2025

https://github.com/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.

data-visualization exploratory-data-analysis feature-engineering iot kaggle-challenge parameter-tuning prophet-facebook-model temperature-sensor time-series-analysis time-series-forecasting

Last synced: 07 Feb 2026

https://github.com/quantisan/itune

i tune your parameters so you don't have to

parameter-tuning reinforcement-learning

Last synced: 01 May 2026

https://github.com/trilokida/dt-classifier-parameters-tunning

Decision Tree Classifier Parameters Tunning with Streamlit app

decision-tree-classifier parameter-tuning streamlit

Last synced: 06 Feb 2026

https://github.com/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.

audio-processing clustering data-science dense-vectors image-processing large-scale-dataset machine-learning numerical-representation parameter-tuning performance-optimization similarity-search text-analysis

Last synced: 22 Mar 2025

https://github.com/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.

data data-visualization exploratory-data-analysis loan-prediction-analysis machine-learning-algorithms naive-bayes-classification parameter-tuning python random-forest

Last synced: 19 Apr 2026

https://github.com/techut30/hyperspectral-image-band-selection-using-gwo

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

composite-images dimensionality-reduction feature-selection gwo-optimization-algorithm hyperspectral-image-selection knn-classification parameter-tuning random-forest-classifier

Last synced: 28 Apr 2026

https://github.com/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

detectron2 fastrcnn labelstudio layoutparser parameter-tuning parsing pytorch

Last synced: 02 Feb 2026

https://github.com/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

dataset jupiter-notebook parameter-tuning python

Last synced: 14 May 2026

https://github.com/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.

glove-embeddings gradientboosting hyperparameter-optimization llms naturallanguageprocessing parameter-tuning sentencetransformerembeddings sentiment-analysis sentiment-classification summarization-algorithm word2vec-embeddinngs

Last synced: 19 Oct 2025