Roni Kobrosly

awesome-data-leadership. A curated list of awesome posts, videos, and articles on leading a data team (small and large)

causal-curve. A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.

scipy_2022_causal_inference_tutorial. A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session

DAG_from_GNN. A revised and cleaned version of Yu and Chen et al.'s "DAG Structure Learning with Graph Neural Networks" algorithm.

scipy_2023_causal_inference_tutorial. Materials for a proposed Causal Inference Tutorial session at SciPy 2023

pydata_nyc_2022. Causal inference teaching materials for a proposed PyData NYC 2022 tutorial

RetroFlow. Python library for generating beautiful, retro ASCII flowcharts from simple text input.

automated_elbow_method. My implementation of Mu Zhu's method for an automated elbow method

obesity_ABM. An agent-based model for obesity, based on real NHANES data

awesome_bash_profile. My highly customized bash profile

scipy_2024_causal_inference_tutorial. Materials for a proposed Causal Inference Tutorial session at SciPy 2024

baby_names. Trends in baby names: clustering time series analysis

rummikub_AI. Attempt at AI that can parse the board tiles from an image and then suggest your move

dfencoder. Jupyter Notebook

ronikobrosly. My personal repo

US_county_disadvantage. This R script creates a US map of county-level socioeconomic disadvantage

simulated-annealing. Simulated annealing for variable selection in linear models

SuperLearner-Estimation. A function that uses the SuperLearner ensemble prediction method to estimate associations with bootstrap confidence intervals

rust_educator_agent. I'm trying to become fluent in Rust, so that I'll then be comfortable with reviewing Rust code generated by agents. Here are agent instructions for reviewing my work.