lmackey

Microsoft Research & Stanford UniversityMA

Pinned Repositories

SteinDiscrepancy.jl
Practical tools for quantifying how well a sample approximates a target distribution
Language:Julia27 5 114
CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Language:C++00
gauss_conc
Efficient Concentration with Gaussian Approximation
Language:Jupyter Notebook1 1 00
probabilistic-numerics.org
This repository houses the code for the community website http://www.probabilistic-numerics.org
Language:TeX0 1 01
social-data-science
A collection of resources for socially engaged Data Science & Statistics
0 1 00
SteinDiscrepancy.jl
Practical tools for quantifying how well a sample approximates a target distribution
Language:Julia0 1 00
goodpoints
A Python package for generating concise, high-quality summaries of a probability distribution
Language:Python39 9 46
subseasonal_data
Data access package for the SubseasonalClimateUSA dataset
Language:Python25 9 313
subseasonal_toolkit
Subseasonal forecasting models
Language:Python42 8 520
stats-for-change.github.io
A collection of resources for socially engaged Data Science & Statistics
Language:JavaScript24 17 113

lmackey/gauss_conc
Efficient Concentration with Gaussian Approximation
Language:Jupyter Notebook1 1 00
lmackey/CNTK
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Language:C++00
lmackey/probabilistic-numerics.org
This repository houses the code for the community website http://www.probabilistic-numerics.org
Language:TeX0 1 01
lmackey/social-data-science
A collection of resources for socially engaged Data Science & Statistics
0 1 00
lmackey/SteinDiscrepancy.jl
Practical tools for quantifying how well a sample approximates a target distribution
Language:Julia0 1 00