danielkunin

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.

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Regularized-Linear-Autoencoders

Loss Landscapes of Regularized Linear Autoencoders

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neural-mechanics

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rethinking-SGD

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Brown-Datathon-2017

Introduction to D3.js for the 2017 Brown Datathon.

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Deeplearning-Visualizations

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Molecular-Dynamics-Simulation

For my Applied Math senior capstone project I am creating a browser-based, dynamic, 3-dimensional simulation of organic molecules.

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Message-in-a-Bottle

CS229 final project on Information Bottleneck

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Bivariate-CLT

Final project for Casey Dunn's "Interacting with Data" course at Brown University worked on with Tyler Devlin

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HMM-Stack

This is an updated version of the original HMM Stack Algorithm by Taehee Lee and Daniel Kunin.

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icme-statistics

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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.

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