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Neal McBurnett nealmcb

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nealmcb / sampling_with_tickets.ipynb
Created June 19, 2018 06:05
Demo of Ron Rivest's Election Audit Sampling with Tickets
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nealmcb / track_session_inhibitors.py
Created July 16, 2012 05:19
Track and print out the apps and clients that are inhibiting Gnome session actions like log out, user switching, suspending or idle/dpms/screensaver, under Linux.
#!/usr/bin/python
"""
Print out the apps and clients that are inhibiting session actions like log out, user switching, suspending or idle.
%InsertOptionParserUsage%
Example:
track_session_inhibitors &
Todo:
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nealmcb / keybase.md
Created September 2, 2017 20:59

Keybase proof

I hereby claim:

  • I am nealmcb on github.
  • I am nealmcb (https://keybase.io/nealmcb) on keybase.
  • I have a public key whose fingerprint is EDC0 36EB 2397 A000 D7CD 417B B94C 992F 3314 8156

To claim this, I am signing this object:

@nealmcb
nealmcb / pb
Created July 4, 2017 23:25
sudo apt-get update && sudo apt-get install mycroft-core
Hit http://mirrordirector.raspbian.org jessie InRelease
Hit http://archive.raspberrypi.org jessie InRelease
Hit http://mirrordirector.raspbian.org jessie/main armhf Packages
Hit http://archive.raspberrypi.org jessie/main armhf Packages
Hit http://repo.mycroft.ai debian InRelease
Hit http://mirrordirector.raspbian.org jessie/contrib armhf Packages
Hit http://mirrordirector.raspbian.org jessie/non-free armhf Packages
Hit http://archive.raspberrypi.org jessie/ui armhf Packages
Hit http://mirrordirector.raspbian.org jessie/rpi armhf Packages
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nealmcb / pdb_resists_kernel_interrupt.ipynb
Last active May 8, 2017 13:33
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nealmcb / USAFacts_API_explore.ipynb
Last active May 2, 2017 05:03
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nealmcb / ariel3_thunderstorm_noise.ipynb
Last active April 16, 2017 16:30
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nealmcb / HiddenFiguresMath.ipynb
Last active January 24, 2017 17:42
Hidden Figures Example: Compressible Flow Equations and Table in Jupyter, Python
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nealmcb / pg-pong.py
Last active June 21, 2016 03:48 — forked from karpathy/pg-pong.py
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
"""pg-pong.py: Trains an agent with (stochastic) Policy Gradients on Pong.
Uses OpenAI Gym.
Saves model every 100 episodes. Resume by setting resume = True
Set render = True to watch the action.
Modified from https://gist.github.com/karpathy/a4166c7fe253700972fcbc77e4ea32c5
to print timestamped self-contained progress rows in TSV format (filter
for just lines containing 'episode').
For background, see http://karpathy.github.io/2016/05/31/rl/
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nealmcb / README.md
Last active June 16, 2016 05:38
OpenAI cartpole evaluation ala iaroslav-ai

This gist documents my OpenAI evaluations at

I attempted to reproduce the quickest documented CartPole-v0 solution to-date, reporting 29 episodes to solve,by iaroslav-ai, documented at https://gym.openai.com/evaluations/eval_yCJkgBGRl2Nfn3TKbvkkg

I don't know why I had a different result the first time, or indeed why it was faster the second time.

I also saw it fail with a traceback: