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karpathy
/ pg-pong.py
Created
May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
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| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
msenol86
/ emojirange.py
Last active
April 28, 2024 00:07
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| import urllib.request | |
| import re | |
| EMOJI_TEST_FILENAME = "emoji-test.txt" | |
| EMOJI_DATA_URL = "https://unicode.org/Public/emoji/14.0/emoji-test.txt" | |
| def download_latest_emoji_test_data() : | |
| response = urllib.request.urlopen(EMOJI_DATA_URL) | |
| emoji_test_file = response.read() | |
| with open(EMOJI_TEST_FILENAME, "wb") as tmp_file: |
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| // check version | |
| node -v || node --version | |
| // list locally installed versions of node | |
| nvm ls | |
| // list remove available versions of node | |
| nvm ls-remote | |
| // install specific version of node |
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| #!/usr/bin/env swift | |
| // | |
| // PrintBootCampESDInfo.swift | |
| // | |
| // Created by nuomi1 on 8/5/18. | |
| // Copyright Β© 2018εΉ΄ nuomi1. All rights reserved. | |
| // | |
| import Foundation |
http://stackoverflow.com/questions/24380159/corebluetooth-and-wifi-interference
http://lists.apple.com/archives/bluetooth-dev/2013/Aug/msg00023.html
This is a well known issue, and it has a solution that is confirmed to work for the Mac side.
sudo defaults write /Library/Preferences/com.apple.airport.bt.plist bluetoothCoexMgmt Hybrid
After you run this script, the issue will go away and BT connections will remain stable.
rxaviers
/ gist:7360908
Last active
April 27, 2024 23:55
Complete list of github markdown emoji markup
People
 :bowtie: |
π :smile: |
π :laughing: |
|---|---|---|
π :blush: |
π :smiley: |
:relaxed: |
π :smirk: |
π :heart_eyes: |
π :kissing_heart: |
π :kissing_closed_eyes: |
π³ :flushed: |
π :relieved: |
π :satisfied: |
π :grin: |
π :wink: |
π :stuck_out_tongue_winking_eye: |
π :stuck_out_tongue_closed_eyes: |
π :grinning: |
π :kissing: |
π :kissing_smiling_eyes: |
π :stuck_out_tongue: |
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