cross-validation

There are 1 repository under cross-validation topic.

RubixML / ML
A high-level machine learning and deep learning library for the PHP language.
machine-learning data-science neural-network analytics php classification clustering regression anomaly-detection deep-learning cross-validation machine-learning-library php-ml php-machine-learning prediction natural-language-processing algorithm php-ai artificial-intelligence ai
Language:PHP 2115
trent-b / iterative-stratification
scikit-learn cross validators for iterative stratification of multilabel data
cross-validation multilabel multilabel-classification scikit-learn stratification
Language:Python 862
mdabros / SharpLearning
Machine learning for C# .Net
machine-learning csharp decision-trees adaboost gradient-boosting-machine random-forest neural-nets deep-learning ensemble-learning cross-validation metrics dotnet machine learning opensource
Language:C# 393
CynthiaKoopman / Network-Intrusion-Detection
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
cross-validation datamining decision-trees feature-selection intrusion-detection-system kdd99 machine-learning network-intrusion-detection nsl-kdd random-forest
Language:Jupyter Notebook 258
WenjieZ / TSCV
Time Series Cross-Validation -- an extension for scikit-learn
time-series cross-validation model-selection backtesting hyperparameter-optimization tuning-parameters machine-learning data-science
Language:Python 254
sharmaroshan / Twitter-Sentiment-Analysis
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 sentiment-analysis data-analysis bag-of-words data-visualization eda machine-learning classification cross-validation evaluation-metrics count-vectorizer wordcloud hashtags datacleaning
Language:Jupyter Notebook 244
Alex-Lekov / AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
automl auto-ml optimisation ml cross-validation xgboost stacking stacking-ensemble hyperparameter-optimization hyperparameter-tuning sklearn python machine-learning machine-learning-library machine-learning-models data-science data-science-projects model-selection automatic-machine-learning
Language:Python 233
alexhuang1117 / Data-Science-Portfolio
A Portfolio of my Data Science Projects
cross-validation data-analysis data-science data-visualization finance jupyter-notebook regression rmarkdown-document
Language:Jupyter Notebook 183
stan-dev / loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
cross-validation stan r-package bayesian-data-analysis information-criterion bayesian-methods model-comparison bayesian bayesian-inference bayesian-statistics bayes
Language:R 153
heidelbergcement / hcrystalball
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
cross-validation data-science fbprophet model-selection pmdarima sarimax sklearn sklearn-api sklearn-compatible sklearn-library sktime statsmodels tbats time-series time-series-forecasting transformer wrapper
Language:Python 151
autoreject / autoreject
Automated rejection and repair of bad trials/sensors in M/EEG
electroencephalography preprocessing cross-validation mne-python magnetoencephalography meg
Language:Python 145
blockCV
rvalavi / blockCV
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
cross-validation r spatial spatial-modelling species-distribution-modelling r-package rstats spatial-cross-validation
Language:R 113
raamana / neuropredict
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
anatomical-mri cross-validation easy-to-use functional-connectivity machine-learning neuroimaging nilearn pattern-recognition report resting-state scikit-learn structural-imaging tract-based-statistics tractography
Language:Python 102
zyl200846 / 3D-UNet-PyTorch-Implementation
The implementation of 3D-UNet using PyTorch
3d-segmentation 3d-unet cross-validation pytorch pytorch-implementation semantic-segmentation unet volumetric-data
Language:Python 101
gmontamat / gentun
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
genetic-algorithm hyperparameter-tuning machine-learning xgboost master-worker hyperparameter-optimization grid-search keras convolutional-neural-networks genetic-algorithms gene-encoding distributed-algorithm cross-validation distributed-genetic-algorithm scikit-learn tensorflow
Language:Python 88
mljs / libsvm
LIBSVM for the browser and nodejs :fire:
classification cross-validation emscripten libsvm regression support-vector-machine svm
Language:JavaScript 85
GDSL-UL / san
Spatial Modelling for Data Scientists
book cross-validation data-science geographically-weighted-regression maps moran-i multilevel-models r r-spatial spatial-analysis spatial-econometrics
Language:TeX 83
msmbuilder / osprey
🦅Hyperparameter optimization for machine learning pipelines 🦅
cross-validation hyperparameter-optimization machine-learning models optimization pretty-logo python scikit-learn
Language:Python 74
Pradnya1208 / Telecom-Customer-Churn-prediction
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.
customer-churn-prediction customer-churn-analysis classification classification-algorithm feature-engineering cross-validation model-evaluation roc-auc gridsearchcv sklearn python numpy pandas plotly machine-learning
Language:Jupyter Notebook 74
deadskull7 / One-Stop-for-COVID-19-Infection-and-Lung-Segmentation-plus-Classification
✋🏼🛑 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
covid-19 machine-learning deep-neural-networks segmentation classification image-processing computer-vision convolutional-neural-networks unet-image-segmentation threshold dice iou image-enhancement cross-validation auc-roc-curve confusion-matrix cyclical-learning-rates recall healthcare coronavirus
Language:Jupyter Notebook 69
alejandrodebus / Pytorch-Utils
Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.
pytorch cnn-visualization cross-validation python
Language:Python 67
hongooi73 / glmnetUtils
Utilities for glmnet
r glmnet cross-validation lasso regression-models
Language:R 65
environmental-sound-classification
mariostrbac / environmental-sound-classification
Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
environmental-sounds data-augmentation urbansound8k cross-validation sound-classification spectrograms librosa pytorch keras cnn-model
Language:Jupyter Notebook 65
BCG-X-Official / sklearndf
DataFrame support for scikit-learn.
python data-science machine-learning model-selection hyper-parameter-tuning cross-validation pandas-dataframe feature-traceability
Language:Python 63
sraashis / deepdyn
pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full
computer-vision convolutional-neural-networks graph-algorithms image-procesing u-net unet vessel-segmentation machine-learning fundus-image pytorch pytorch-implementation pytorch-vizualization multiple-gpu retinal-vessel-segmentation universal-pytorch-framework centralized-image-processing custom-data-loader-pytorch cross-validation custom-dataloader
Language:Jupyter Notebook 63
RubixML / CIFAR-10
Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
cifar-10 image-recognition image-classification object-detection machine-learning neural-network deep-learning deep-neural-networks php artificial-intelligence computer-vision rubix-ml machine-learning-tutorial tutorial example-project php-ml php-machine-learning cross-validation pipeline php-ai
Language:PHP 60
mlr-org / mlr3spatiotempcv
Spatiotemporal resampling methods for mlr3
mlr3 resampling spatial cross-validation temporal resampling-methods r r-package
Language:TeX 51
PacktWorkshops / The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
artificial-neural-networks classification cross-validation decision-trees hyperparameter-tuning k-means-clustering keras linear-transformation logistic-regression machine-learning magnetic-resonance-imaging model-evaluation model-tuning regression regularization scalars scikit-learn support-vector-machine tensorflow vectors
Language:Jupyter Notebook 51
tlverse / hal9001
🤠 📿 The Highly Adaptive Lasso
machine-learning-algorithms nonparametric-regression cross-validation lasso-regression
Language:R 50
SamComber / spacv
Spatial cross-validation in Python.
cross-validation machine-learning spatial-data-science data-science python sklearn scikit-learn scikitlearn-machine-learning geographic-data-science
Language:Jupyter Notebook 45
sileixinhua / Python_data_science_by_iris
iris数据集的基本数据分析方法，包括KNN,LG,NB,SVM算法。
cross-validation data-science iris kde knn logistic-regression machine-learning naive-bayes numpy python3 sklearn svm
Language:Python 45
DidierRLopes / timeseries-cv
Time-Series Cross-Validation Module
timeseries-analysis cross-validation python
Language:Jupyter Notebook 44
ledell / subsemble
subsemble R package for ensemble learning on subsets of data
big-data cross-validation ensemble ensemble-learning machine-learning machine-learning-algorithms r
Language:R 43
brainhack-school2020 / abide-fmri
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
brainhack-school abide-data resting-state-fmri fmri cross-validation autism support-vector-classification cv-classifier jupyter-notebooks nilearn scikitlearn-machine-learning plotly leave-one-out-cross-validation kfold-cross-validation group-kfold-cross-validation reproducible-science preparation-script project-management
Language:Jupyter Notebook 40
darya-chyzhyk / confound_prediction
Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
confounding machine-learning deconfounding prediction neuroscience cross-validation confound subsampling biomarkers statistical-tests
Language:Python 40
RubixML / MNIST
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
neural-network computer-vision mnist mnist-dataset mnist-handwriting-recognition image-classification php machine-learning deep-learning deep-neural-networks tutorial machine-learning-tutorial rubix-ml image-recognition php-ml php-machine-learning cross-validation pipeline php-ai
Language:PHP 39

cross-validation

RubixML / ML

trent-b / iterative-stratification

mdabros / SharpLearning

CynthiaKoopman / Network-Intrusion-Detection

WenjieZ / TSCV

sharmaroshan / Twitter-Sentiment-Analysis

Alex-Lekov / AutoML_Alex

alexhuang1117 / Data-Science-Portfolio

stan-dev / loo

heidelbergcement / hcrystalball

autoreject / autoreject

rvalavi / blockCV

raamana / neuropredict

zyl200846 / 3D-UNet-PyTorch-Implementation

gmontamat / gentun

mljs / libsvm

GDSL-UL / san

msmbuilder / osprey

Pradnya1208 / Telecom-Customer-Churn-prediction

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

alejandrodebus / Pytorch-Utils

hongooi73 / glmnetUtils

mariostrbac / environmental-sound-classification

BCG-X-Official / sklearndf

sraashis / deepdyn

RubixML / CIFAR-10

mlr-org / mlr3spatiotempcv

PacktWorkshops / The-Deep-Learning-with-Keras-Workshop

tlverse / hal9001

SamComber / spacv

sileixinhua / Python_data_science_by_iris

DidierRLopes / timeseries-cv

ledell / subsemble

brainhack-school2020 / abide-fmri

darya-chyzhyk / confound_prediction

RubixML / MNIST