unbiased

There are 0 repository under unbiased topic.

• slimgroup / TimeProbeSeismic.jl

  Memory efficient seismic inversion via trace estimation

  seismic-inversionunbiasedfwidevitojudi
  Language:Julia 8

• kescardoso / datasetbucket

  A dataset bucket with a machine learning bias auditor. Built with Python-Flask, MaterializeCSS and the Kaggle API.

  flaskflask-applicationmachine-learningmongodbmongodb-databasepythonpython3unbiased
  Language:Python 6

• DannnyzZ / Chat-GPT

  This repository provides configuration for highly accurate and unbiased responses from Chat-GPT

  accuracyaichat-gptconfigurationpreciseresponseunbiased
  5

• slimgroup / XConv

  Memory efficient convolution networks

  convolutional-layersconvolutional-neural-networksjulia-languageprobingpytorchunbiased
  Language:Python 5

• stdlib-js / stats-base-stdevwd

  Calculate the standard deviation of a strided array using Welford's algorithm.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathstandard-deviationvariancevardeviationdispersionspreadsample-standard-deviationunbiasedwelfordstridedstrided-array
  Language:JavaScript 3

• stdlib-js / stats-base-dmeanstdev

  Calculate the mean and standard deviation of a double-precision floating-point strided array.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathmeanarithmetic-meanaverageavgcentral-tendencyvariancevardeviationdispersionsample-standard-deviationunbiased
  Language:JavaScript 2

• stdlib-js / stats-base-dmeanstdevpn

  Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathmeanarithmetic-meanaverageavgcentral-tendencyvariancevardeviationdispersionsample-standard-deviationunbiased
  Language:JavaScript 2

• stdlib-js / stats-base-dmeanvar

  Calculate the mean and variance of a double-precision floating-point strided array.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathmeanarithmetic-meanaverageavgcentral-tendencyvariancevardeviationdispersionsample-varianceunbiased
  Language:JavaScript 2

• stdlib-js / stats-base-dmeanvarpn

  Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathmeanarithmetic-meanaverageavgcentral-tendencyvariancevardeviationdispersionsample-varianceunbiased
  Language:JavaScript 2

• 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.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionsample-standard-deviationunbiasedstandard-deviationstridedstrided-arraytypedarray
  Language:JavaScript 2

• stdlib-js / stats-base-dstdevtk

  Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionspreadsample-standard-deviationunbiasedstandard-deviationstridedstrided-arraytyped
  Language:JavaScript 2

• 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.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionsample-varianceunbiasedstandard-deviationstridedstrided-arraytypedarray
  Language:JavaScript 2

• stdlib-js / stats-base-dvariancepn

  Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionsample-varianceunbiasedstandard-deviationstridedstrided-arraytypedarray
  Language:JavaScript 2

• stdlib-js / stats-base-nanstdevch

  Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionsample-standard-deviationunbiasedstandard-deviationstridedstrided-arraytypedarray
  Language:JavaScript 2

• stdlib-js / stats-base-snanvariance

  Calculate the variance of a single-precision floating-point strided array ignoring NaN values.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionsample-varianceunbiasedstandard-deviationstridedstrided-arraytypedarray
  Language:JavaScript 2

• 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.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionsample-varianceunbiasedstandard-deviationstridedstrided-arraytypedarray
  Language:JavaScript 2

• 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.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionsample-varianceunbiasedstandard-deviationstridedstrided-arraytypedarray
  Language:JavaScript 2

• stdlib-js / stats-base-sstdev

  Calculate the standard deviation of a single-precision floating-point strided array.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathstandard-deviationvariancevardeviationdispersionspreadsample-standard-deviationunbiasedstridedstrided-arraytyped
  Language:JavaScript 2

• stdlib-js / stats-base-sstdevpn

  Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathstandard-deviationvariancevardeviationdispersionspreadsample-standard-deviationunbiasedstridedstrided-arraytyped
  Language:JavaScript 2

• stdlib-js / stats-base-sstdevtk

  Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionspreadsample-standard-deviationunbiasedstandard-deviationstridedstrided-arraytyped
  Language:JavaScript 2

• stdlib-js / stats-base-stdev

  Calculate the standard deviation of a strided array.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathstandard-deviationvariancevardeviationdispersionspreadsample-standard-deviationunbiasedstridedstrided-arraytyped
  Language:JavaScript 2

• stdlib-js / stats-base-stdevpn

  Calculate the standard deviation of a strided array using a two-pass algorithm.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathstandard-deviationvariancevardeviationdispersionspreadsample-standard-deviationunbiasedstridedstrided-arraytyped
  Language:JavaScript 2

• stdlib-js / stats-base-svariance

  Calculate the variance of a single-precision floating-point strided array.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionsample-varianceunbiasedstandard-deviationstridedstrided-arraytypedarray
  Language:JavaScript 2

• stdlib-js / stats-base-svariancepn

  Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionsample-varianceunbiasedstandard-deviationstridedstrided-arraytypedarray
  Language:JavaScript 2

• 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.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionsample-varianceunbiasedstandard-deviationyoungscramerstridedstrided-array
  Language:JavaScript 2

• stdlib-js / stats-base-variance

  Calculate the variance of a strided array.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancevardeviationdispersionsample-varianceunbiasedstandard-deviationstridedstrided-arraytypedarray
  Language:JavaScript 2

• stdlib-js / stats-incr-apcorr

  Compute a sample absolute Pearson product-moment correlation coefficient.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathcovariancesample-covariancevarianceunbiasedvarcorrelationcorrpearsonproduct-momentabsabsolute
  Language:JavaScript 2

• stdlib-js / stats-incr-covariance

  Compute an unbiased sample covariance incrementally.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathcovariancesample-covariancevarianceunbiasedvardispersionstandard-deviationcorrelationcorrincrementalaccumulator
  Language:JavaScript 2

• stdlib-js / stats-incr-mapcorr

  Compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathcovariancesample-covariancevarianceunbiasedvarcorrelationcorrapcorrpearsonproduct-momentabsolute
  Language:JavaScript 2

• stdlib-js / stats-incr-meanvar

  Compute an arithmetic mean and unbiased sample variance incrementally.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathaverageavgmeanarithmetic-meanvariancesample-varianceunbiasedvardispersionstandard-deviationcentral-tendency
  Language:Makefile 2

• stdlib-js / stats-incr-mvariance

  Compute a moving unbiased sample variance incrementally.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancesamplesample-varianceunbiasedstandarddeviationdispersionincrementalaccumulatormoving-variancesliding-window
  Language:JavaScript 2

• stdlib-js / stats-incr-mvmr

  Compute a moving variance-to-mean ratio (VMR) incrementally.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancesamplesample-varianceunbiaseddispersionindex-of-dispersionfano-factorfanodispersion-indexrelative-variancevmr
  Language:JavaScript 2

• stdlib-js / stats-incr-pcorrmat

  Compute a sample Pearson product-moment correlation matrix incrementally.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathcovariancematrixsample-covariancevarianceunbiasedvardispersionstandard-deviationcorrelationanticorrelationcorrelated
  Language:JavaScript 2

• stdlib-js / stats-incr-variance

  Compute an unbiased sample variance incrementally.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancesample-varianceunbiasedvardispersionstandard-deviationcentral-tendencyincrementalaccumulator
  Language:JavaScript 2

• stdlib-js / stats-incr-vmr

  Compute a variance-to-mean ratio (VMR) incrementally.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancesample-varianceunbiasedvardispersionindex-of-dispersionfano-factordispersion-indexrelative-variancevmrmean
  Language:JavaScript 2

• stdlib-js / stats-iter-variance

  Compute the unbiased sample variance over all iterated values.

  nodejsjavascriptstdlibnodenode-jsstatisticsstatsmathematicsmathvariancesample-varianceunbiasedvardispersionstandard-deviationiteratoriterableiterate
  Language:JavaScript 2