peregrinrm

peregrinrm's Stars

• herrbischoff/awesome-macos-command-line

  Use your macOS terminal shell to do awesome things.

  29.1k75701.4k

• rstudio/bookdown

  Authoring Books and Technical Documents with R Markdown

  Language:JavaScript3.8k1251.1k1.3k

• mitmath/1806

  18.06 course at MIT

  Language:Jupyter Notebook2.6k1336692

• SciML/SciMLBook

  Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

  Language:HTML1.9k6636336

• vega/lyra

  An interactive, graphical Visualization Design Environment (VDE)

  Language:TypeScript1.1k58338168

• mitmath/julia-mit

  Tutorials and information on the Julia language for MIT numerical-computation courses.

  Language:Jupyter Notebook738526104

• JuliaReinforcementLearning/ReinforcementLearning.jl

  A reinforcement learning package for Julia

  Language:Julia59312344112

• mitmath/18335

  18.335 - Introduction to Numerical Methods course

  Language:Jupyter Notebook505351122

• mitmath/18330

  18.330 Introduction to Numerical Analysis

  35718278

• timholy/SnoopCompile.jl

  Provide insights about latency (TTFX) for Julia packages

  Language:Julia3131011449

• mitmath/18S096SciML

  18.S096 - Applications of Scientific Machine Learning

  Language:HTML30725248

• KristofferC/PGFPlotsX.jl

  Plots in Julia using the PGFPlots LaTeX package

  Language:Julia304813940

• andyferris/Dictionaries.jl

  An alternative interface for dictionaries in Julia, for improved productivity and performance

  Language:Julia28369028

• JuliaInterop/JuliaCall

  Embed Julia in R

  Language:HTML2701119435

• mitmath/18S096

  18.S096 three-week course at MIT

  Language:Jupyter Notebook25929053

• hsayama/PyCX

  PyCX is a Python-based sample code repository for complex systems research and education.

  Language:Python22211481

• mitmath/18336

  18.336 - Fast Methods for Partial Differential and Integral Equations

  1826016

• beatrizmilz/materiais_estudo_R

  Materiais de estudo de R

  Language:HTML17222677

• mitmath/18303

  18.303 - Linear PDEs course

  Language:Jupyter Notebook14014037

• walkerke/crsuggest

  Get appropriate CRS suggestions for your spatial data in R

  Language:R128497

• marius311/Memoization.jl

  Easily and efficiently memoize any function, closure, or callable object in Julia.

  Language:Julia1003242

• mitmath/18338

  Language:Jupyter Notebook9571222

• rdahis/clean_RAIS

  Code to clean the RAIS data set (Brazilian matched employer-employee data, 1985-2020)

  Language:Stata6312826

• malcolmbarrett/designing.ggplots

  Install Workshop Materials for Designing ggplots

  Language:R489213

• QuantEcon/CompEcon.jl

  Julia versions of the CompEcon routines by Miranda and Fackler.

  Language:Julia47112427

• jonathanbratt/RBERTviz

  Visualization tools to use with RBERT

  Language:R45496

• wikirona/wikirona

  COVID19 Response Repository; by the People for the People.

  Language:Jupyter Notebook341223

• diemoritat/son-of-anton

  Language:JavaScript24210

• lphansen/Climate

  Code to accompany the paper "Pricing Uncertainty Induced by Climate Change"

  Language:C++19616

• cosanlab/socially_transmitted_placebo_effects

  Language:Jupyter Notebook3905