tomvannuenen

DIGHUM160

Jupyter Notebooks for DIGHUM160 - Critical Digital Humanities, taught at UC Berkeley's Digital Humanities Summer Minor 2018-2024

Computational-Social-Science-Training-Program

This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal inference. This course has a strong applied focus with emphasis placed on doing computational social science.

SISU-DH-2021

Repo for the SISU Digital Humanities Workshop, May/June 2021

course-computational-literary-analysis

Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018.

digital-hermeneutics

This is the repository for the Digital Humanities course at the UC Berkeley DH Summer School

pardon-my-spanish

Simple language translation web app

R-Push-Ins

D-Lab's 4.5 hour "push-in" introduction to R, providing a brief survey of foundational R concepts and operations.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

corporeal

Command-line Python package for text analytics

DIGHUM-160-project

test

test-bash

mergesort

reddit-graph

Jupyter notebook + Code for reproducing Reddit Subreddit graphs

scrape-tripadvisor

Scraping script for TripAdvisor using BeautifulSoup

tomvannuenen.github.io