Example scripts from the series "Learn JavaScript on the Now Platform"

This is a pick-your-problem style guide I created to educate everyone from my leadership team to my ML engineers on the process of how to work with AI in production settings.

Python library for extracting quantitative, reproducible metrics of multi-level alignment between speakers in naturalistic language corpora.

The most advanced AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

Preprocessed texts and annotation scripts to generate the Diorisis Ancient Greek Corpus

A machine learning pipeline taking you from raw data to fully trained machine learning model - from data to model (d2m).

Python code for abnormal detection using Support Vector Data Description (SVDD)

Tutorials on Authorship Analysis

Python package to web scrape AO3 reading history data for each user

An implicit recommendation system for AO3-based fanworks.

An unofficial archiveofourown.org (AO3) API for python

A scripted Python interface to some of the data on AO3

Implementation of "Author Identification by Automatic Learning" from Fréry et al.

Parallel Recurrent Neural Network (PRNN) for Authorship Verification

Data and code accompanying the monograph "A Theory of Linguistic Individuality"

Code used for evaluation and baselines in the PAN shared tasks.

The first real AI developer

Authorship verification by OCCAV method (compression based)

Greek Word2Vec models

XML Canonical resources for Greek Literature

Turn CTS TEI corpora into CEX collection files

R package for stylometric analyses

Transformer-based model for learning authorship representations.

Implementing modified Imposters Method by Koppel and Seidman

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.