komatsuna4747

komatsuna4747's Stars

• looker-open-source/dashboard-summarization

  Language:TypeScript3020

• ankurchavda/streamify

  A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!

  Language:Python609119

• joonho112/Bayesian-causal-inference

  Tutorials on Stan for Bayesian causal inference

  Language:HTML197

• walkerjameschris/dataclass

  An R package for creating data structs with input validation.

  Language:R8

• bcallaway11/did

  Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did

  Language:HTML31397

• DylanB95/statespacer

  statespacer: State Space Modelling in R

  Language:R157

• klmr/box

  Write reusable, composable and modular R code

  Language:R87147

• aibazhang/tiny-mindmap

  Create your mindmap web pages from markdown with a tiny shell script

  Language:Shell23

• easystats/datawizard

  Magic potions to clean and transform your data 🧙

  Language:R21916

• rstudio/pointblank

  Data quality assessment and metadata reporting for data frames and database tables

  Language:R88856

• yukiyanai/rgamer

  rgamer: An R package for teaching and learning game theory

  Language:R547

• Nth-iteration-labs/contextual

  Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

  Language:R7926

• egenn/rtemis

  Advanced Machine Learning and Visualization

  Language:R14119

• socialfoundations/whynot

  A Python sandbox for decision making in dynamics

  Language:Python41843

• Matt52/bayesian-testing

  Bayesian A/B testing

  Language:Python738

• RamiKrispin/deploy-flex-actions

  Deploying flexdashboard on Github Pages with Docker and Github Actions

  Language:HTML21528

• jbisbee1/dyadRobust

  Cluster-robust standard errors for dyadic data via multiway decomposition as described in Aronow, Peter M., Cyrus Samii, and Valentina A. Assenova. "Cluster–robust variance estimation for dyadic data." Political Analysis 23.4 (2015): 564-577

  Language:R34

• komatsuna4747/targets

  Function-oriented Make-like declarative workflows for R

  1

• rmcelreath/stat_rethinking_2022

  Statistical Rethinking course winter 2022

  Language:R4.1k445

• facebookexperimental/Robyn

  Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

  Language:Jupyter Notebook1.2k347

• DyfanJones/noctua

  Connect R to Athena using paws SDK (DBI Interface)

  Language:R465

• lrberge/fixest

  Fixed-effects estimations

  Language:R38061

• zdebruine/RcppSparse

  Seamless R and C++ integration for the sparse matrix dgCMatrix class

  Language:C++12

• laresbernardo/lares

  Analytics & Machine Learning R Sidekick

  Language:R23349

• gadenbuie/intro-to-git-for-scientists

  Intro to git for scientists and other regular people

  Language:TeX122

• aboulaboul/automl

  Deep Learning with Metaheuristic

  Language:R2812

• uncorrelated/KSQME

  Keizai Seminar Quantitative Macroeconomics

  Language:R3

• sakinashibuya/MFdiffusion_replication

  Language:R4