Pinned Repositories
causalgraphs
R code for causal graph animations
data-science-from-scratch
code for Data Science From Scratch book
inspirations
Personal inspirations and recommendations
maps_cities
R code to create map of Russian cities
municipal_budgets
Python code to scrape Russian municipal budgets
nlp_course
YSDA course in Natural Language Processing
ProgrammerGroup
Code for programmer group, courses, and public exposition
olgasparyan's Repositories
olgasparyan/inspirations
Personal inspirations and recommendations
olgasparyan/causalgraphs
R code for causal graph animations
olgasparyan/data-science-from-scratch
code for Data Science From Scratch book
olgasparyan/maps_cities
R code to create map of Russian cities
olgasparyan/municipal_budgets
Python code to scrape Russian municipal budgets
olgasparyan/nlp_course
YSDA course in Natural Language Processing
olgasparyan/academictwitteR
Repo for academictwitteR package to query the Twitter Academic Research Product Track v2 API endpoint.
olgasparyan/beamer-tips
olgasparyan/bertcnn-classifying-manifestos
olgasparyan/causalsens
A sensitivity analysis package for causal effects
olgasparyan/covid-19-open-data
Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.
olgasparyan/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.
olgasparyan/images_as_data
Replication for Cambridge Elements
olgasparyan/js_imaging_practice_repo
olgasparyan/learning-stm
Learning structural topic modeling using the stm R package.
olgasparyan/medch_audpercep
Data for "Media Choice and Audience Perceptions: Evidence from Visual Framing of Immigration in News Stories"
olgasparyan/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
olgasparyan/MLhetrogeneouseffects
Master thesis project
olgasparyan/olgasparyan.github.io
OG Website
olgasparyan/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
olgasparyan/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
olgasparyan/qsslearnr
learnr tutorial package for Quantitative Social Science
olgasparyan/quanteda.sentiment
quanteda extensions for sentiment analysis [experimental]
olgasparyan/rochester-dissertation-template
LaTeX template for PhD dissertations at the University of Rochester
olgasparyan/scripts.data.portal.github.io
SCRIPTS Data Portal Webpage
olgasparyan/the-unix-workbench
:house_with_garden: A Book for Anyone to Get Started with Unix
olgasparyan/topic_modelling_financial_news
Topic modelling on financial news with Natural Language Processing
olgasparyan/unc_webscraping
We will post here webscraping scripts and resources for the UNC-CH Computational Social Science Workshop
olgasparyan/unix-practice-repo
olgasparyan/unix_simple_tasks
Some simple scripts for written in shell.