Vincent D. Warmerdam
The projects have piled up over the years, so I’ve resorted to a tree based view of some of my work. The most up-to-date version of this document can be found on Github.
🙂 Vincent D. Warmerdam ┣━━ 📦 Open Source Packages ┃ ┣━━ doubtlab - suite of tools to find bad labels ┃ ┣━━ scikit-lego - lego bricks for sklearn ┃ ┣━━ human-learn - rule-based components for sklearn ┃ ┣━━ icepickle - cool and safe storage for linear models ┃ ┣━━ whatlies - word embeddings for sklearn pipelines ┃ ┣━━ simsity - a super simple similarities service ┃ ┣━━ drawdata - draw datasets in jupyter ┃ ┣━━ clumper - function API for lists of dicts ┃ ┣━━ mktestdocs - turn markdown files into pytest tests ┃ ┣━━ memo - saves a whole log of time ┃ ┣━━ durations - pytest duration insights ┃ ┣━━ justcharts.js - hosting vegalite charts, just easier ┃ ┗━━ evol - grammar for genetic heuristics ┣━━ 🔬 Experiments ┃ ┣━━ embetter - similarity based learning ┃ ┣━━ bulk - experimental widgets for bulk labelling ┃ ┣━━ tjek - tjek changes with the main branch ┃ ┣━━ gitlit - tracking github action times across open source ┃ ┣━━ sentimany - many sentiment models, one repo ┃ ┗━━ tokenwiser - sklearn token tricks ┣━━ 👍 Contributions ┃ ┗━━ fairlearn - contributed the CorrelationFilter ┣━━ ⭐ Online Projects ┃ ┣━━ koaning.io - personal blog ┃ ┣━━ calmcode.io - dev education service ┃ ┗━━ dearme.email - reflection service ┣━━ 🎙️ Popular Talks ┃ ┣━━ Optimal on Paper, Broken in Reality ┃ ┣━━ Playing by the Rules-Based-Systems ┃ ┣━━ How to Constrain Artificial Stupidity ┃ ┣━━ The Profession of Solving the Wrong Problem ┃ ┣━━ Winning with Simple, even Linear, Models ┃ ┗━━ Optimal Benchmarks and Other Failures ┗━━ 👨💻 Employer ┣━━ 💥 Explosion - developer tools for ml ┃ ┗━━ cluestar - inspiration for your first text labels ┗━━ 🤖 Rasa - conversational software ┣━━ nlu examples - custom nlu components for Rasa ┣━━ taipo - data augmentation tools ┣━━ rasalit - streamlit apps for rasa nlu ┗━━ algo whiteboard - nlp education