danielkunin/Deeplearning-Visualizations

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JavaScript
Created over 6 years ago
Updated over 5 years ago

danielkunin/Deeplearning-Visualizations

danielkunin

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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

Jupyter Notebook

neural-mechanics

Jupyter Notebook

rethinking-SGD

Jupyter Notebook

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

icme-statistics

HMM-Stack

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

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.