ETHC's repositories
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.
aa228-notebook
IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University
codingquestions
class coding problems
ConflictAvoidanceDASC
Conflict avoidance algorithm for unmanned aircraft traffic management
datasciencecoursera
datasciencecoursera
deepdive
DeepDive
neural-style
Neural style in TensorFlow! • http://www.anishathalye.com/2015/12/19/an-ai-that-can-mimic-any-artist/ • https://git.io/style
parksandrec
Hackathon project
Project3
Let's try this out
Research-analytics
Data mining and analysis of research productivity using NLP in Python, Demo: http://soterixmedical.com/publications/
samplerepo
sample
scholar.py
A parser for Google Scholar, written in Python
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".