OrenBochman

blog

blogComments

blog Comments

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

CrashCourseInCausality

course notes

datasets

Datasets for ML, Analysis, etc

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.

ds_assignment_similari

data science, NLP, Keyword Extraction, TF-IDF

foam-hnlp

hebrew nlp

go-nats-step-by-step

Source code of all the samples for nats implementation as presented on https://www.meetup.com/Go-Israel/events/284585914/

gpt-accelerator

accelerate llm task with automation tools

latexcv

:necktie: A collection of cv and resume templates written in LaTeX. Leave an issue if your language is not supported!

lit-element-starter-ts

lrnwebcomponents

@lrnwebcomponents Monorepo for NPM based element definitions

marginalia

javascript implementation of annotations using fragmention

markdown-it

Markdown parser, done right. 100% CommonMark support, extensions, syntax plugins & high speed

mesa

Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

mesa-examples

Seminal agent-based models developed using Mesa

mesa-viz-tornado

mltools

notebooks

jupyter notebooks

orenbochman.github.io

blog

os-practice

https://melodious-muffin-2be5a1.netlify.app/

quatro-cli-bugs

minimal reproduction of quarto bugs

sanity-sapper-blog

Blog with Sapper

sanityStarterStudio

svelte-kit-tailwind

Tabbed_MD_Editor_Svelte

markdown it! editor using tabs

tailwind-lit-starter

tensorstore

Library for reading and writing large multi-dimensional arrays.

zet