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ETHC's Projects

aa228-notebook icon aa228-notebook

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

bumblebee icon bumblebee

Replicating Transformer's Bumblebee voice, during HackIllinois 2015

discra icon discra

Distributed conflict resolution on Spark Streaming

eopl3 icon eopl3

Code from the book "Essentials of Programming Languages", 3rd ed. by Friedman and Wand

gasrefuellingoptimization icon gasrefuellingoptimization

With data accessible such as the roads, fuel level, traffic information and gas prices, the goal of this paper is to investigate how reinforcement learning can be used to plan an optimal strategy of where and when for a driver to refuel gas. This whole decision making process will modelled through a Markov Decision Process. In this paper, model simulations will be used instead of real data due to the time frame, and to provide a proof of concept that can be explored further.

neural-style icon neural-style

Neural style in TensorFlow! • http://www.anishathalye.com/2015/12/19/an-ai-that-can-mimic-any-artist/ • https://git.io/style

plotly.py icon plotly.py

the browser-based graphing library for python

research-analytics icon research-analytics

Data mining and analysis of research productivity using NLP in Python, Demo: http://soterixmedical.com/publications/

word_jumble icon word_jumble

The program should accept a string as input, and then return a list of words that can be created using the submitted letters. For example, on the input "dog", the program should return a set of words including "god", "do", and "go".

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