tomoya-sasaki Goto Github PK

100days

100 days of algorithms

akashgit.github.io

autoencoding_vi_for_topic_models

Tensorflow implementation for prodLDA and NVLDA.

cates

Machine Learning Estimation of Heterogeneous Causal Effects

code_tips

Efficient ways to write codes

dbmm

R package for dynamic Bayesian measurement models

declaredesign

DeclareDesign: Declare and Diagnose Research Designs

did_multiplegt

Estimation in Difference-in-Difference (DID) designs with multiple groups and periods.

dirichlet

Dirichlet MLE python library

dynirttest

fall2022gitworkshop

Practice repo for Git workshop

fastlink

R package fastLink: Fast Probabilistic Record Linkage

fect

fixed effect counterfactual estimators

fips-codes

fuzzyjoin

Join tables together on inexact matching

gitworkshop

gitworkshop_tutorial

lectures

Lecture notes for EC 607

mediation

R package mediation

meta_learner-for-causal-ml

This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods.

methods

nlp100

practices

projects

rstanbook

『StanとRでベイズ統計モデリング』のサポートページです.

sample

Tips

shiftsharese

Inference in shift-share designs

spoon-knife

This repo is for demonstration purposes only.

test

tikz-bayesnet

TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.