58 Open Source Cross Validation Software Projects
Free and open source cross validation code projects including engines, APIs, generators, and tools.
Iterative Stratification 413 ⭐
scikit-learn cross validators for iterative stratification of multilabel data
Cynthiakoopman Network Intrusion Detection 106 ⭐
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Loo 95 ⭐
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Neuropredict 82 ⭐
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
Hcrystalball 86 ⭐
A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Pytorch Utils 61 ⭐
Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.
Superlearner Guide 35 ⭐
SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
Resamplr 34 ⭐
R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
Deepdyn 34 ⭐
pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full
Rubixml Cifar 10 25 ⭐
Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
Wink Naive Bayes Text Classifier 23 ⭐
Configurable Naive Bayes Classifier for text with cross-validation support
Machine_learning_a Z_all_codes_and_templates 23 ⭐
All codes, both created and optimized for best results from the SuperDataScience Course
Sharmaroshan Twitter Sentiment Analysis 29 ⭐
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
The Deep Learning With Keras Workshop 24 ⭐
An Interactive Approach to Understanding Deep Learning with Keras
Multimodal Sentiment Analysis 20 ⭐
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
One Stop For Covid 19 Infection And Lung Segmentation Plus Classification 20 ⭐
✋🏼🛑 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
Groupdata2 17 ⭐
R-package: Methods for dividing data into groups. Create balanced partitions and cross-validation folds. Perform time series windowing and general grouping and splitting of data. Balance existing groups with up- and downsampling.
Campaign Critic 17 ⭐
A web app that helps Kickstarter creators increase their chances of being funded
Rubixml Har 14 ⭐
Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Rubixml Mnist 14 ⭐
Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
Pychemometrics 12 ⭐
pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets
Assignpop 12 ⭐
Population Assignment using Genetic, Non-genetic or Integrated Data in a Machine-learning Framework. Methods in Ecology and Evolution. 2018;9:439–446.
Rubixml Iris 12 ⭐
The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
Uri Url Classification Using Recurrent Neural Network Svm And Randomforest 11 ⭐
URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval
Credit 10 ⭐
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Confound_prediction 10 ⭐
Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
Car Price Prediction Highly Comprehensive Linear Regression Project 10 ⭐
A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.