Topic: cross-validation Goto Github
Some thing interesting about cross-validation
Some thing interesting about cross-validation
cross-validation,Useful functions to work with PyTorch. At the moment, there is a function to work with cross validation and kernels visualization.
User: alejandrodebus
cross-validation,State-of-the art Automated Machine Learning python library for Tabular Data
User: alex-lekov
cross-validation,A Portfolio of my Data Science Projects
User: alexhuang1117
cross-validation,Automated rejection and repair of bad trials/sensors in M/EEG
Organization: autoreject
Home Page: https://autoreject.github.io
cross-validation,DataFrame support for scikit-learn.
Organization: bcg-x-official
Home Page: https://bcg-x-official.github.io/sklearndf/
cross-validation,Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
Organization: brainhack-school2020
cross-validation,Machine learning toolkits with Python
User: buomsoo-kim
cross-validation, SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.
User: ck37
cross-validation,Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
User: cynthiakoopman
cross-validation,Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
User: darya-chyzhyk
cross-validation,✋🏼🛑 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
User: deadskull7
cross-validation,Time-Series Cross-Validation Module
User: didierrlopes
cross-validation,All codes, both created and optimized for best results from the SuperDataScience Course
User: farhanchoudhary
cross-validation,Spatial Modelling for Data Scientists
Organization: gdsl-ul
Home Page: https://gdsl-ul.github.io/san/
cross-validation,Hyperparameter tuning for machine learning models using a distributed genetic algorithm
User: gmontamat
cross-validation,pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets
User: gscorreia89
cross-validation,A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Organization: heidelbergcement
Home Page: https://hcrystalball.readthedocs.io/
cross-validation,Utilities for glmnet
User: hongooi73
cross-validation,R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
User: jrnold
cross-validation,subsemble R package for ensemble learning on subsets of data
User: ledell
cross-validation,Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
User: mariostrbac
cross-validation,Machine learning for C# .Net
User: mdabros
cross-validation,LIBSVM for the browser and nodejs :fire:
Organization: mljs
Home Page: https://mljs.github.io/libsvm/
cross-validation,Spatiotemporal resampling methods for mlr3
Organization: mlr-org
Home Page: https://mlr3spatiotempcv.mlr-org.com
cross-validation,🦅Hyperparameter optimization for machine learning pipelines 🦅
Organization: msmbuilder
Home Page: http://msmbuilder.org/osprey
cross-validation,An Interactive Approach to Understanding Deep Learning with Keras
Organization: packtworkshops
cross-validation,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.
User: pradnya1208
cross-validation,In depth machine learning resources
User: puneet2000
cross-validation,Conquering confounds and covariates: methods, library and guidance
User: raamana
Home Page: https://raamana.github.io/confounds
cross-validation,Easy and comprehensive assessment of predictive power, with support for neuroimaging features
User: raamana
Home Page: https://raamana.github.io/neuropredict/
cross-validation,Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
User: roshansridhar
cross-validation,Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.
Organization: rubixml
Home Page: https://rubixml.com
cross-validation,The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
Organization: rubixml
Home Page: https://rubixml.com
cross-validation,A high-level machine learning and deep learning library for the PHP language.
Organization: rubixml
Home Page: https://rubixml.com
cross-validation,Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
Organization: rubixml
Home Page: https://rubixml.com
cross-validation,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
User: rvalavi
Home Page: https://doi.org/10.1111/2041-210X.13107
cross-validation,This python program demonstrates image classification with stratified k-fold cross validation technique.
User: sadmansakib93
cross-validation,Spatial cross-validation in Python.
User: samcomber
cross-validation,Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.
User: sharmaroshan
cross-validation,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
User: sharmaroshan
cross-validation,iris数据集的基本数据分析方法,包括KNN,LG,NB,SVM算法。
User: sileixinhua
Home Page: http://blog.csdn.net/sileixinhua
cross-validation,pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp.2020.00035/full
User: sraashis
cross-validation,loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
Organization: stan-dev
Home Page: https://mc-stan.org/loo
cross-validation,🤠 📿 The Highly Adaptive Lasso
Organization: tlverse
Home Page: https://tlverse.org/hal9001
cross-validation,:game_die: :crystal_ball: Comprehensive Cross-Validation Engine
Organization: tlverse
Home Page: https://tlverse.org/origami
cross-validation,scikit-learn cross validators for iterative stratification of multilabel data
User: trent-b
cross-validation,Time Series Cross-Validation -- an extension for scikit-learn
User: wenjiez
Home Page: https://tscv.readthedocs.io
cross-validation,Focus on Algorithm Design, Not on Data Wrangling
Organization: zensors
Home Page: https://datatap.dev
cross-validation,The implementation of 3D-UNet using PyTorch
User: zyl200846
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