kdzhang

CausalPy

A Python package for causal inference in quasi-experimental settings

causalinference_crashcourse

Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks

torch-choice

Choice modeling with PyTorch: logit model and nested logit model

pyfixest

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

pyhdfe

High dimensional fixed effect absorption with Python 3

DSE2023

Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland

docker-flask-example

A production ready example Flask app that's using Docker and Docker Compose.

gpt4-pdf-chatbot-langchain

GPT4 & LangChain Chatbot for large PDF docs

bilingual_book_maker

Make bilingual epub books Using AI translate

Tidier.jl

Meta-package for data analysis in Julia, modeled after the R tidyverse.

awesome-public-datasets

A topic-centric list of HQ open datasets.

tsfeatures

Calculates various features from time series data. Python implementation of the R package tsfeatures.

xsynthdid

Simple function to adjust for covariates in synthdid

binscatterplot

An implementation of R's `binsreg` in Python

pysynthdid

Synthetic difference in differences for Python

census

A Python wrapper for the US Census API.

neovim

Vim-fork focused on extensibility and usability

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

pylogit

A python package for estimating conditional logit models.

headlines.nvim

This plugin adds horizontal highlights for text filetypes, like markdown, orgmode, and neorg.

Neovim-from-scratch

📚 A Neovim config designed from scratch to be understandable

breadcrumbs

Add typed-links to your Obsidian notes

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

julia-bootcamp-2022

google-research

Google Research

causalml

Uplift modeling and causal inference with machine learning algorithms

tidycensus

Load US Census boundary and attribute data as 'tidyverse' and 'sf'-ready data frames in R

Sharing_ISL_python

An Introduction to Statistical Learning with Applications in PYTHON

Highlightr-Plugin

A minimal and aesthetically pleasing highlighting menu that makes color-coded highlighting much easier 🎨.

fixest

Fixed-effects estimations