Nathan Epstein

Login: NathanEpstein

Company: null

Location: New York, NY

Bio: Quant / Data Scientist / Software Engineer. Member at @NumFOCUS. Studied applied math and code at @columbia & @recursecenter.

Blog: nepste.in

Blog: nepste.in

Member of

  1. D3xter
  2. Fullstack Academy
  3. Recurse Center

Repositories

brooklynjs-3-16-17
Presentation at Brooklyn JS 3/16/17
clusters
k-means clustering in Javascript
D3xter
Straight forward plotting built on D3
datakit
A lightweight framework for data analysis in JavaScript.
Dora
Tools for exploratory data analysis in Python
finData
R library for easily scraping financial time series data
How_To_Start_A_Startup
Audio of "CS 183B: How to Start a Startup"
KNear
K-nearest neighbors algorithm for supervised learning implemented in javascript
markov
A compact C++ library for easily simulating common Markov processes.
NathanEpstein.github.io
My personal website
Pavlov.js
Reinforcement learning using Markov Decision Processes. For JS, written in C++.
pong
Pong implementation in pure Javascript
pydata-berlin
my presentation for PyData Berlin 2016 - just open presentation-cleaver.html
pydata-london
null
pydata-reinforce
code for pydata madrid presentation
queensjs-6-1-16
null
reinforce
Simple reinforcement learning in Python.
spaceInvade3D
Space Invaders in 3D. Implemented in JavaScript w/ ThreeJS.
stochastic
Simulation of common stochastic processes with native JavaScript
StockVisD3
D3 visualization of the US stock market from 1873 to the present.
Z3d
Interactive 3D plotting with a simple function call using Three.js

Commits To

RepositoryMost Recent Commit# Commits
NathanEpstein/D3xter2016-07-08 21:28:16.083


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.