Stars
Data for "Geolocating Political Events in Text"
Full text geoparsing as a Python library
Quickly extract multi-word phrases from a corpus
This project implements a Part-of-Speech (POS) tagging system using Hidden Markov Models (HMM) and the Viterbi algorithm. POS tagging is a crucial task in Natural Language Processing (NLP) that inv…
Repository for paper "Embedding Regression: Models for Context-Specific Description and Inference"
🤯 LobeHub - an open-source, modern design AI Agent Workspace. Supports multiple AI providers, Knowledge Base (file upload / RAG ), one click install MCP Marketplace and Artifacts / Thinking. One-cl…
An Introduction to Statistical Inference and Regression
What fellows are learning about data problems and tools
Stata command to perform randomization inference and permutation tests, allowing for arbitrary randomization procedures with (almost) any Stata command.
Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
Code for 'Two-Step Estimation of Network-Formation Models with Incomplete Information'
Data and Program files for Causal Inference: The Mixtape
Causal Inference 1 Mixtape Session taught by Scott Cunningham
St Gallen University July 2025 Workshop on Causal Panel Methods
Techniques for deep learning with satellite & aerial imagery
Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
code for Data Science From Scratch book
Top2Vec learns jointly embedded topic, document and word vectors.
An open-source, low-code machine learning library in Python
The machine learning toolkit for time series analysis in Python
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.