joehahn Goto Github PK

cat-chase-grasshopper

a simple AI is trained to instruct a virtual cat how to chase a virtual bug

clementine-zodiacal-light

archive of my analysis of the Clementine spacecraft's observations of the Zodiacal Light

cryptocoin-tensorflow-demo

Simple demo ilustrating the use of LSTM neural network to predict daily changes in the Ethereum cryptocurrency

cryptocompare

Python3 Wrapper for the CryptoCompare API

data-science-office-hours

ddisk

ddisk is an IDL script that calculates dust abundances over time for a debris-disk that is produced by a planetesimals that are grinding away due to collisional erosion.

el2xv

These IDL procedures convert Keplerian orbit elements into Cartesian coordinates, and back.

epi_int

N-body integrator for gravitating planetary rings, written in IDL.

epi_int_lite

N-body integrator that simulates the dynamical evolution of gravitating planetary rings

exes-n-ohs

simple experiment that uses keras on the datascience.com platform

grid_walker

Grid_walker illustrates how to use Q-learning to teach a simple neural net to help an agent navigate towards its goal while avoiding obstacles and hazards

hivemind

Train the hivemind (a simple neural net) to send its bees to the most rewarding fields

ice-cores

doodling with historical temperatures inferred from antarctic ice cores...in progress...

int_sys_eqns

These IDL routines perform a Runga Kutta integration of a system of first order differential equations.

keplers_eqn_cpp

Solves Kepler's equation numerically using c++

keplers_eqn_idl

Solves Kepler's equation numerically using IDL

keplers_eqn_java

Solves Kepler's equation numerically using java

mercury6jh

Mercury6.2jh is John Chamber's N-body integrator, but tweaked slightly to drive orbit decay or planet-migration. Also included are IDL codes for analyzing the output, which also run under GDL (Gnu IDL) with partial success.

multi-agent-explore

a Q-learning experiment that uses multiple agents, is in progress

predictive-maintenance-sim

demo of a predictive maintenance strategy on mock data for upstream oil & gas

rebound

Joe Hahn's fork of Hanno Rein's open-source multi-purpose N-body code for collisional dynamics

secular-waves

code for simulating spiral waves driven by secular perturbations from an eccentric or inclined perturber

spark-one-off

template for getting a one-off calculation executed on a throwaway Spark cluster, with that output exported to S3 and visualized using Jupyter + Athena

stock_picker

tbd

tf-text-classification-demo

a demo that uses an LSTM neural network to predict the author of random selections of text pulled from numerous books in Project Gutenberg

tmp

tmp space where i stash by trash...