roughViz.js

Reusable JavaScript library for creating sketchy/hand-drawn styled charts in the browser, based on D3v5 & roughjs.

pykoi

Python library for LLMs providing UI & code for data & feedback collection, finetuning (RLHF & RAG), and model comparisons.

MLU-Explain

Visual, interactive explanations of core machine learning concepts and algorithms.

gpuv

A python library to visualize your gpu usage, and optionally, save it to a csv file.

svelte2jupyter

A python library to render Svelte components directly inside Jupyter Notebooks with one line of code, and turn them into dependency-free, reusable python classes.

Datasets

A curated list of some cool datasets that I created. (Bob Ross paintings, National Geographic Covers, Pomological Watercolors, and skate video music).

Sperm Hero

A game where you control a sperm cell with your head and dodge various forms of birth control.

4PLY MAGAZINE

An online, data-driven skateboard magazine. (Followed by Tony Hawk!)

Neural Networks

Learn about neural networks, the backbone of many popular algorithms today.

The Permutation Test

A 'scrolly-telling' visual tutorial of statistical testing with hand-drawn SVG aesthetics.

The Good, the Rad, and the Gnarly

An exploration into the music of skateboarding. Visual essay for The Pudding.

Linear Regression

Interactively learn about linear regression models as they're commonly used in the context of machine learning.

Train, Test, And Validation Sets

Learn why it is best practice to split your data into training, testing, and validation sets, and explore the utility of each with a live machine learning model.

Equality Of Odds

Explore equality of odds, a metric used to quantify unfairness and remove bias from machine learning models.

Logistic Regression

Learn how logistic regression can be used for binary classification in machine learning through an interactive example.

ROC & AUC

A visual, interactive explanation of Receiver Operating Characteristic (ROC) Curves and Area Under The Curve (AUC).

Precision & Recall

When it comes to evaluating classification models, accuracy is often a poor metric. This article covers two common alternatives, Precision and Recall, as well as the F1-score and Confusion Matrices.

The Bias Variance Tradeoff

Understand the tradeoff between under- and over-fitting models, how it relates to bias and variance, and explore interactive examples related to LOESS and KNN.

Decision Trees

An explanation of the Decision Tree algorithm in machine learning: how the tree makes its splits, the concepts of Entropy and Information Gain, and why going too deep is problematic.

Random Forest

Learn how the majority vote and well-placed randomness can extend the decision tree model to one of machine learning's most widely-used algorithms, the Random Forest.

Double Descent: A Visual Introduction

An introduction to the double descent phenomenon in modern machine learning: what it is, how it relates to the bias-variance tradeoff, and a theory of what lies behind.

Double Descent: A Mathematical Explanation

A mathematical explanation of the double descent phenomenon, building on the cubic spline example introduced in the prior article.

Reinforcement Learning

Learn about Reinforcement Learning (RL) and the exploration-exploitation dilemma with this interactive article.

Colors: National Geographic Covers

The color-palettes of National Geographic covers, 1965-2018.

4PLYMAG: All The Gall

An analysis of Fred Gall's prolific skateboarding career.

Nested Machine Learning Workflows

An introduction to nested machine learning workflows in R with tidyr & purrr.

U.C. Berkeley: Faculty Salaries

Interactively explore the salaries of U.C. Berkeley faculty.

4PLYMAG: Eric Koston

A look and analysis the professional skateboarding career of Eric Koston.

Jenkem Mag

Sometimes I do data-driven stuff for Jenkem Mag, a skateboard magazine.