chuvanan

chuvanan's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python278k6.6k30546.5k

• mtdvio/every-programmer-should-know

  A collection of (mostly) technical things every software developer should know about

  83.8k2k527.8k

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook68.5k55871610.2k

• localstack/localstack

  💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

  Language:Python56.6k5175.7k4k

• hemanth/functional-programming-jargon

  Jargon from the functional programming world in simple terms!

  18.6k356751k

• tiangolo/typer

  Typer, build great CLIs. Easy to code. Based on Python type hints.

  Language:Python15.1k76324643

• kennethreitz/records

  SQL for Humans™

  Language:Python7.2k187132572

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.1k139478935

• Miksus/rocketry

  Modern scheduling library for Python

  Language:Python3.3k1785108

• datafold/data-diff

  Compare tables within or across databases

  Language:Python2.9k21318271

• rmcelreath/stat_rethinking_2023

  Statistical Rethinking Course for Jan-Mar 2023

  Language:R2.2k15015249

• ktaranov/sqlserver-kit

  Useful links, scripts, tools and best practice for Microsoft SQL Server Database

  Language:TSQL2.2k20867674

• allisonhorst/stats-illustrations

  R & stats illustrations by @allison_horst

  1.8k10611199

• nanxstats/awesome-shiny-extensions

  🐝 Awesome R and Python packages offering extended UI or server components for the web framework Shiny

  1.5k7115181

• MikeMcQuaid/GitInPractice

  📖 An opinionated intermediate/advanced Git book

  1k275105

• chiphuyen/just-pandas-things

  An ongoing list of pandas quirks

  Language:Jupyter Notebook946302132

• rstudio/py-shiny

  Shiny for Python

  Language:Python6252638437

• Miksus/red-mail

  Advanced email sending for Python

  Language:Python39774032

• cynkra/constructive

  Display Idiomatic Code to Construct Most R Objects

  Language:R13032046

• HenrikBengtsson/parallelly

  R package: parallelly - Enhancing the 'parallel' Package

  Language:R13061147

• JanMarvin/openxlsx2

  openxlsx2 - read, write and modify xlsx files

  Language:R122641812

• rstudio/shinylive

  Run Shiny on Python (compiled to wasm) in the browser

  Language:TypeScript6111254

• rsangole/user2022-r-for-docker

  Notes and reproducible code for the 'Docker for R' useR-2022 conference workshop

  Language:R593729

• gdemin/excel.link

  Convenient Data Exchange between R and Microsoft Excel

  Language:R56113116

• davidchall/jinjar

  Templating engine for R inspired by Jinja

  Language:C++442211

• jaehyeon-kim/dbt-on-aws

  dbt (data build tool) projects targeting AWS analytics services (redshift, glue, emr, athena) and open table formats

  Language:HCL25318

• channon036/how_fateful

  I used Google Maps history to see how close I came to meeting my boyfriend

  Language:HTML23102

• olcf/foundational_hpc_skills

  Language:Jupyter Notebook2217016

• rpolars/rpolars

  Language:R20231

• swarm-lab/cec

  Cross-Entropy Clustering R Package

  Language:C++10201