TeodoroJMartinez

TeodoroJMartinez's Stars

• soulmachine/machine-learning-cheat-sheet

  Classical equations and diagrams in machine learning

  Language:TeX7.5k385151.3k

• rfordatascience/tidytuesday

  Official repo for the #tidytuesday project

  Language:HTML7k5724682.4k

• dair-ai/ML-Course-Notes

  🎓 Sharing machine learning course / lecture notes.

  6.1k15914800

• wzchen/probability_cheatsheet

  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

  Language:TeX3k1388695

• aangelopoulos/conformal-prediction

  Lightweight, useful implementation of conformal prediction on real data.

  Language:Jupyter Notebook801131189

• sourcery-ai/python-best-practices-cookiecutter

  Python best practices project cookiecutter 🍪

  Language:Python673911123

• LaPreprint/LaPreprint

  📝 A nicely formatted LaTeX preprint template

  Language:TeX55693074

• joanby/deeplearning-az

  Language:Jupyter Notebook4422700277

• Azure/Azure-TDSP-Utilities

  Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

  Language:HTML37315038273

• eddelbuettel/littler

  A scripting and command-line front-end for GNU R

  Language:R31497051

• Yu-Group/covid19-severity-prediction

  Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

  Language:Jupyter Notebook228231492

• MatsuuraKentaro/Bayesian_Statistical_Modeling_with_Stan_R_and_Python

  Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.

  Language:R1345133

• MarcoDelphiBooks/ObjectPascalHandbook104

  Object Pascal Handbook for Delphi 10.4 Sydney demos source code

  Language:Pascal10617048

• b-rodrigues/rap4all

  Language:HTML9652430

• jvangeld/ME-GIS

  GIS files created by the ME-DEM team.

  8572125

• JesperDramsch/ml.recipes

  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutorial focuses on basics that work. Getting you 90% of the way to top-tier reproducibility.

  Language:HTML708017

• melling/ISLR

  Introduction to Statistical Learning

  Language:R593010

• marvinbraga/Marvin.IA

  Machine Learning in Object Pascal.

  Language:Pascal36152311

• rharish101/dilbert-viewer

  A simple comic viewer for Dilbert by Scott Adams

  Language:Rust31270

• rstudio/ptexamples

  A simple R package showcasing how RStudio project templates can be used.

  Language:R275114

• jonas-hag/analysistemplates

  RStudio templates for scientific data analysis

  Language:R20114

• justinelliotmeyers/bangladesh_2022_census_gis

  201011

• khnews/2021-delta-appalachia-stroke-access

  Analysis for "In Appalachia and the Mississippi Delta, Millions Face Long Drives to Stroke Care"

  Language:R14304

• lazappi/cookiecutter-r-analysis

  Cookiecutter template for an R analysis project

  Language:Python14306

• karoliskoncevicius/annmatrix

  annotated matrix object for R

  Language:R13390

• cdr-book/cdr-book.github.io

  Repository for the website of the book (github hosting support)

  Language:HTML11219

• ecabestadistica/curso-atipicos

  Language:MATLAB118049

• cdr-book/CDR

  Language:R2000

• pjhop/EnigmulatoR

  Language:R220

• TeodoroJMartinez/covid-19-data

  Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

  Language:Python1000