Roni Kobrosly's Projects
My implementation of Mu Zhu's method for an automated elbow method
An index of algorithms for learning causality with data
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
A curated list of awesome posts, videos, and articles on leading a data team (small and large)
My highly customized bash profile
Trends in baby names: clustering time series analysis
A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
Blog Checker is a tool to automate the process of checking personal websites and blogs for updates.
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
A revised and cleaned version of Yu and Chen et al.'s "DAG Structure Learning with Graph Neural Networks" algorithm.
Using LSTMs to classify DNA sequences
materials for MAC 2024
A collection of DS blog posts, papers, etc that I want to keep track of. None of these are related to DS or data team leadership
Misc datasets for interviews, conversations, etc
An agent-based model for obesity, based on real NHANES data
Causal inference teaching materials for a proposed PyData NYC 2022 tutorial
[HELP REQUESTED] Generalized Additive Models in Python
Cookiecutter templates for python projects (complete with makefiles, dockerfiles, testing templates, and more)
A Python package for time series classification
Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
My personal repo
Attempt at AI that can parse the board tiles from an image and then suggest your move
My attempt at the "Santa's Stolen Sleigh" optimization problem
Python code for the SciClarify app
A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
Materials for a proposed Causal Inference Tutorial session at SciPy 2023
Materials for a proposed Causal Inference Tutorial session at SciPy 2024