Daniel Kunin's repositories
Seeing-Theory
Seeing Theory is a project designed and created by Daniel Kunin with support from Brown University's Royce Fellowship Program and National Science Foundation group STATS4STEM. The goal of the project is to make statistics more accessible to a wider range of students through interactive visualizations.
Regularized-Linear-Autoencoders
Loss Landscapes of Regularized Linear Autoencoders
Brown-Datathon-2017
Introduction to D3.js for the 2017 Brown Datathon.
Molecular-Dynamics-Simulation
For my Applied Math senior capstone project I am creating a browser-based, dynamic, 3-dimensional simulation of organic molecules.
Message-in-a-Bottle
CS229 final project on Information Bottleneck
Bivariate-CLT
Final project for Casey Dunn's "Interacting with Data" course at Brown University worked on with Tyler Devlin
Pokemon-Po
A D3.js visualization of our naive algorithm and improved algorithm for catching Pokemon proposed for the 2016 Brown Mathematical Contest for Modeling.
sail-blog-new-post
The repository for making new post submissions to the SAIL Blog