unbiased
There are 112 repositories under unbiased topic.
slimgroup/TimeProbeSeismic.jl
Memory efficient seismic inversion via trace estimation
DannnyzZ/Chat-GPT
This repository provides configuration for highly accurate and unbiased responses from Chat-GPT
kescardoso/datasetbucket
A dataset bucket with a machine learning bias auditor. Built with Python-Flask, MaterializeCSS and the Kaggle API.
slimgroup/XConv
Memory efficient convolution networks
stdlib-js/stats-base-stdevwd
Calculate the standard deviation of a strided array using Welford's algorithm.
stdlib-js/stats-base-dmeanstdev
Calculate the mean and standard deviation of a double-precision floating-point strided array.
stdlib-js/stats-base-dmeanstdevpn
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
stdlib-js/stats-base-dmeanvar
Calculate the mean and variance of a double-precision floating-point strided array.
stdlib-js/stats-base-dmeanvarpn
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
stdlib-js/stats-base-dnanstdevyc
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
stdlib-js/stats-base-dstdevtk
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.
stdlib-js/stats-base-dsvariance
Calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
stdlib-js/stats-base-dvariancepn
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
stdlib-js/stats-base-nanstdevch
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
stdlib-js/stats-base-snanvariance
Calculate the variance of a single-precision floating-point strided array ignoring NaN values.
stdlib-js/stats-base-snanvariancech
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
stdlib-js/stats-base-snanvariancetk
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
stdlib-js/stats-base-sstdev
Calculate the standard deviation of a single-precision floating-point strided array.
stdlib-js/stats-base-sstdevpn
Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.
stdlib-js/stats-base-sstdevtk
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
stdlib-js/stats-base-stdev
Calculate the standard deviation of a strided array.
stdlib-js/stats-base-stdevpn
Calculate the standard deviation of a strided array using a two-pass algorithm.
stdlib-js/stats-base-svariance
Calculate the variance of a single-precision floating-point strided array.
stdlib-js/stats-base-svariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
stdlib-js/stats-base-svarianceyc
Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
stdlib-js/stats-base-variance
Calculate the variance of a strided array.
stdlib-js/stats-incr-apcorr
Compute a sample absolute Pearson product-moment correlation coefficient.
stdlib-js/stats-incr-covariance
Compute an unbiased sample covariance incrementally.
stdlib-js/stats-incr-mapcorr
Compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.
stdlib-js/stats-incr-meanvar
Compute an arithmetic mean and unbiased sample variance incrementally.
stdlib-js/stats-incr-mvariance
Compute a moving unbiased sample variance incrementally.
stdlib-js/stats-incr-mvmr
Compute a moving variance-to-mean ratio (VMR) incrementally.
stdlib-js/stats-incr-pcorrmat
Compute a sample Pearson product-moment correlation matrix incrementally.
stdlib-js/stats-incr-variance
Compute an unbiased sample variance incrementally.
stdlib-js/stats-incr-vmr
Compute a variance-to-mean ratio (VMR) incrementally.
stdlib-js/stats-iter-variance
Compute the unbiased sample variance over all iterated values.