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sundeepblue / client.py
Last active August 29, 2015 14:10 — forked from EyalAr/client.py
from subprocess import Popen, PIPE
from time import sleep
# run the shell as a subprocess:
p = Popen(['python', 'shell.py'],
stdin = PIPE, stdout = PIPE, stderr = PIPE, shell = False)
# issue command:
p.stdin.write('command\n')
# let the shell output the result:
sleep(0.1)
@sundeepblue
sundeepblue / pg-pong.py
Created February 17, 2018 04:02 — forked from karpathy/pg-pong.py
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" 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
@sundeepblue
sundeepblue / min-char-rnn.py
Created June 18, 2019 20:03 — forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)