Dylan Cashman (dylancashman)

dylancashman

Geek Repo

Company:Novartis

Location:Cambridge, MA

Home Page:https://dylancashman.github.io/

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Dylan Cashman's repositories

seasons_of_love

Ruby gem to split two dates into a subset of ranges divided by month

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remap_nas

REMAP is a semi-automated Neural Architecture Search tool, published in IEEE TVCG

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active_model_selection

React.js + Flask app for using active learning for model selection

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advanced-tensorflow

Little More Advanced TensorFlow Implementations

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al-folio

Dylan Cashman's version of A beautiful Jekyll theme for academics

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alt-interaction

Javascript library for the Alt-Interaction design pattern

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altair

Declarative statistical visualization library for Python

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anonymous_qs_for_lecture

Allows audience to enter anonymous questions for a lecturer as they give a presentation.

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AWeber-API-Ruby-Library

Ruby interface to AWeber's API.

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bostonvis_confweb

Boston Vis site forked from a base Jekyll site for hosting conference web pages.

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Data-Ball

comp150 final project

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google-api-ruby-client-samples

Samples for the Google API Ruby Client

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grayout-rails

Quick view helper used with rails to add tooltips and grayouts

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hashdiff

HashDiff is a ruby library to to compute the smallest difference between two hashes

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ieeevis.org

Website for ieeevis.org

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metaqnn

Forked to generate data compatible with visualization TBA

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PAC-learning-game

An Idyll project for understanding machine learning error through a game

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r4ds

R for data science

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railsbridge-boston

Railsbridge Boston workshop for women and their friends.

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scikit-learn

scikit-learn: machine learning in Python

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specmetric

Python package for visualizing computations

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theme-blog

A Free Material Blog Theme for Vuetify

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tufts_ml_website

Source code for the Tufts ML website

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uninhabited_man

Uninhabited Man blog

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vis4ml-tutorial-examples.github.io

A web-based interactive browser of visualizations used in machine learning tutorials

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vuejs.org

đź“„ The official documentation site for Vue.js.

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youtube-8m

Starter code for working with the YouTube-8M dataset.

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