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cross-validation

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RubixML / ML

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A high-level machine learning and deep learning library for the PHP language.

php data-science machine-learning natural-language-processing algorithm ai deep-learning neural-network analytics clustering cross-validation regression prediction artificial-intelligence classification rubix machine-learning-library feature-vector hidden-layers anomaly-detection classification-trees regression-trees php-ml php-ai php-machine-learning

Updated Jul 16, 2021
PHP

trent-b / iterative-stratification

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scikit-learn cross validators for iterative stratification of multilabel data

scikit-learn cross-validation stratification multilabel multilabel-classification

Updated Sep 12, 2020
Python

mdabros / SharpLearning

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Machine learning for C# .Net

learning machine-learning opensource deep-learning csharp dotnet random-forest metrics machine cross-validation gradient-boosting-machine ensemble-learning adaboost decision-trees neural-nets

Updated Jan 5, 2021
C#

alexhuang1117 / Data-Science-Portfolio

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A Portfolio of my Data Science Projects

finance data-science jupyter-notebook cross-validation regression data-visualization data-analysis rmarkdown-document

Updated Oct 8, 2019
Jupyter Notebook

WenjieZ / TSCV

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Time Series Cross-Validation -- an extension for scikit-learn

data-science machine-learning time-series cross-validation model-selection hyperparameter-optimization tuning-parameters backtesting

Updated Jun 7, 2021
Python

Alex-Lekov / AutoML_Alex

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State-of-the art Automated Machine Learning python library for Tabular Data

python data-science machine-learning sklearn cross-validation ml model-selection xgboost hyperparameter-optimization machine-learning-library hyperparameter-tuning optimisation automl stacking auto-ml machine-learning-models automatic-machine-learning data-science-projects stacking-ensemble

Updated Mar 7, 2021
Python

CynthiaKoopman / Network-Intrusion-Detection

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Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

machine-learning random-forest cross-validation feature-selection decision-trees datamining intrusion-detection-system network-intrusion-detection kdd99 nsl-kdd

Updated Apr 5, 2020
Jupyter Notebook

heidelbergcement / hcrystalball

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A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

wrapper data-science time-series sklearn cross-validation transformer model-selection statsmodels sklearn-compatible fbprophet sarimax time-series-forecasting sklearn-library sklearn-api pmdarima sktime tbats

Updated Jul 26, 2021
Python

stan-dev / loo

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loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

cross-validation bayesian-methods stan r-package bayesian-data-analysis model-comparison information-criterion

Updated Jun 30, 2021
R

autoreject / autoreject

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Automated rejection and repair of bad trials/sensors in M/EEG

cross-validation meg electroencephalography preprocessing magnetoencephalography mne-python

Updated Jul 20, 2021
Python

raamana / neuropredict

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Easy and comprehensive assessment of predictive power, with support for neuroimaging features

machine-learning scikit-learn cross-validation report easy-to-use neuroimaging pattern-recognition nilearn tractography structural-imaging anatomical-mri functional-connectivity tract-based-statistics resting-state

Updated Jul 28, 2021
Python

msmbuilder / osprey

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🦅Hyperparameter optimization for machine learning pipelines 🦅

python machine-learning optimization scikit-learn models cross-validation hyperparameter-optimization pretty-logo

Updated Nov 29, 2020
Python

alejandrodebus / Pytorch-Utils

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Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.

python cross-validation pytorch cnn-visualization

Updated May 29, 2020
Python

mljs / libsvm

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LIBSVM for the browser and nodejs 🔥

svm cross-validation regression emscripten classification support-vector-machine libsvm

Updated Mar 20, 2019
JavaScript

sharmaroshan / Twitter-Sentiment-Analysis

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It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization

nlp machine-learning sentiment-analysis cross-validation eda data-visualization wordcloud classification data-analysis bag-of-words hashtags evaluation-metrics count-vectorizer datacleaning

Updated May 14, 2019
Jupyter Notebook

gmontamat / gentun

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Hyperparameter tuning for machine learning models using a distributed genetic algorithm

machine-learning rabbitmq genetic-algorithm keras cross-validation xgboost hyperparameter-optimization convolutional-neural-networks genetic-algorithms grid-search hyperparameter-tuning distributed-algorithm master-worker gene-encoding distributed-genetic-algorithm

Updated May 3, 2021
Python

JielongZ / 3D-UNet-PyTorch-Implementation

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The implementation of 3D-UNet using PyTorch

cross-validation pytorch unet semantic-segmentation volumetric-data 3d-segmentation pytorch-implementation 3d-unet

Updated Feb 12, 2020
Python

hongooi73 / glmnetUtils

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Utilities for glmnet

r cross-validation lasso glmnet regression-models

Updated Feb 25, 2021
R

sraashis / deepdyn

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pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full

machine-learning computer-vision graph-algorithms cross-validation pytorch convolutional-neural-networks unet vessel-segmentation image-procesing multiple-gpu u-net pytorch-implementation fundus-image pytorch-vizualization retinal-vessel-segmentation universal-pytorch-framework centralized-image-processing custom-data-loader-pytorch custom-dataloader

Updated Jun 8, 2021
Jupyter Notebook

GDSL-UL / san

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Spatial Analysis Notes

maps cross-validation spatial-analysis multilevel-models geographically-weighted-regression spatial-econometrics moran-i

Updated Apr 30, 2021
Jupyter Notebook

ledell / subsemble

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subsemble R package for ensemble learning on subsets of data

machine-learning r big-data machine-learning-algorithms cross-validation ensemble ensemble-learning

Updated Apr 25, 2021
R

zensors / datatap-python

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Focus on Algorithm Design, Not on Data Wrangling

python training machine-learning datastructures tensorflow cross-validation deep pytorch dataset resnet deeplearning dataloader data-pipeline testset trainsets

Updated Jul 8, 2021
Python

ck37 / superlearner-guide

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SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.

cross-validation superlearner statistical-learning tmle ensembles targeted-learning

Updated Apr 17, 2019
HTML

deadskull7 / One-Stop-for-COVID-19-Infection-and-Lung-Segmentation-plus-Classification

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✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation

dice machine-learning deep-neural-networks computer-vision cross-validation image-processing threshold healthcare classification recall segmentation convolutional-neural-networks confusion-matrix iou image-enhancement unet-image-segmentation cyclical-learning-rates auc-roc-curve coronavirus covid-19

Updated Jun 25, 2020
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PacktWorkshops / The-Deep-Learning-with-Keras-Workshop

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An Interactive Approach to Understanding Deep Learning with Keras

machine-learning tensorflow scikit-learn keras cross-validation regression classification artificial-neural-networks logistic-regression regularization support-vector-machine vectors decision-trees hyperparameter-tuning model-evaluation magnetic-resonance-imaging k-means-clustering model-tuning scalars linear-transformation

Updated Jun 8, 2021
Jupyter Notebook

jrnold / resamplr

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R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.

bootstrap tidyverse cross-validation permutation jackknife resampling-methods rolling-windows modelr

Updated Jul 22, 2018
R

BCG-Gamma / sklearndf

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Open

Add Maximum Relevance Minimum Redundancy as feature selection algorithm

konst-int-i commented Dec 17, 2020

Is your feature request related to a problem? Please describe.
Feature is not directly related to a problem, but is rather an enhancement of existing functionality. As suggested by Julian King on the facet Slack channel, we could add Maximum Relevance Minimum Redundancy (MRMR) as a feature selection algorithm.

The algorithm is explained in the following papers:
https://arxiv.org/pdf/1

Read more

API good first issue

mlr-org / mlr3spatiotempcv

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Spatiotemporal resampling methods for mlr3

r cross-validation spatial resampling temporal resampling-methods mlr3

Updated Jul 28, 2021
R

RubixML / CIFAR-10

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Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

php machine-learning tutorial deep-neural-networks computer-vision deep-learning neural-network pipeline cross-validation artificial-intelligence image-classification image-recognition object-detection example-project cifar-10 php-ml php-ai machine-learning-tutorial rubix-ml php-machine-learning

Updated Jul 14, 2021
PHP

buomsoo-kim / Machine-learning-toolkits-with-python

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Machine learning toolkits with Python

python bootstrap machine-learning metrics scikit-learn evaluation cross-validation ensemble ensemble-learning roc grid-search

Updated Oct 7, 2017
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