ajsw

ajsw's Stars

• psb1558/Elstob-font

  A variable font for medievalists

  Language:JavaScript3909

• darothen/ai-models-for-all

  Run AI NWP forecasts hassle-free, serverless in the cloud!

  Language:Python1078

• ecmwf-lab/ai-models

  Language:Python39566

• msu-econ-data-analytics/course-materials

  Language:HTML24373

• paulgp/applied-methods-phd

  Repo for Yale Applied Empirical Methods PHD Course

  Language:HTML1.9k579

• bair-climate-initiative/multiearth

  Download and access remote sensing data from any platform

  Language:Python15416

• mapbox/polylabel

  A fast algorithm for finding the pole of inaccessibility of a polygon (in JavaScript and C++)

  Language:C++1.4k151

• NickCH-K/Econometrics

  A Swirl course for introductory econometrics

  Language:R6731

• ManimCommunity/manim

  A community-maintained Python framework for creating mathematical animations.

  Language:Python25.8k1.8k

• openmodels/small-world-fisheries

  Analysis code for the paper The Small World of Global Marine Fisheries: The Cross-Boundary Consequences of Larval Dispersal

  Language:R2

• darinchristensen/conley-se

  Code to estimate Conley's Standard Errors in R

  Language:HTML1722

• OU-PhD-Econometrics/fall-2020

  Language:JavaScript113163

• hdruckenmiller/SFD

  Spatial first differences

  Language:R157

• openmodels/META-2021

  The Model for Economic Tipping (point) Analysis

  Language:Jupyter Notebook1411

• Global-Policy-Lab/mosaiks-paper

  Code and data to support our paper

  Language:Jupyter Notebook7424

• gee-community/geetools

  A collection of tools to work with Google Earth Engine Python API

  Language:Python523122

• ClairePalandri/HABANERO-HPC_material

  Language:R23

• lrberge/fixest

  Fixed-effects estimations

  Language:R37961

• yinhsiuc/NMMAPS_DLIM

  Language:R3

• slackner0/ColumbiaLatexTemplate

  LaTeX Template for Columbia University Dissertations

  Language:TeX62

• michaelcbest/GR6307---Public-Economics-and-Development

  Materials for Columbia course GR6307

  Language:TeX1515

• Oracen-zz/MIDAS

  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference

  Language:Python11928