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jasp-stats/jasp-desktop
jasp-stats/jasp-desktop PublicJASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
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merliseclyde/BAS
merliseclyde/BAS PublicBAS R package for Bayesian Model Averaging and Variable Selection
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waffles-and-posteriors
waffles-and-posteriors PublicHow priors affect uncertainty estimates
Jupyter Notebook 2
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asteroid-team/torch-audiomentations
asteroid-team/torch-audiomentations PublicFast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
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jasp-stats/jasp-desktop
jasp-stats/jasp-desktop PublicJASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
-
-
-
merliseclyde/BAS
merliseclyde/BAS PublicBAS R package for Bayesian Model Averaging and Variable Selection
-
waffles-and-posteriors
waffles-and-posteriors PublicHow priors affect uncertainty estimates
Jupyter Notebook 2
-
asteroid-team/torch-audiomentations
asteroid-team/torch-audiomentations PublicFast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
Pinned Loading
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jasp-stats/jasp-desktop
jasp-stats/jasp-desktop PublicJASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
-
-
-
merliseclyde/BAS
merliseclyde/BAS PublicBAS R package for Bayesian Model Averaging and Variable Selection
-
waffles-and-posteriors
waffles-and-posteriors PublicHow priors affect uncertainty estimates
Jupyter Notebook 2
-
asteroid-team/torch-audiomentations
asteroid-team/torch-audiomentations PublicFast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
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