sksq96

"""
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)

sksq96

""" 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

sksq96

Synopsis

At the top of the file there should be a short introduction and/ or overview that explains what the project is. This description should match descriptions added for package managers (Gemspec, package.json, etc.)

Code Example

Show what the library does as concisely as possible, developers should be able to figure out how your project solves their problem by looking at the code example. Make sure the API you are showing off is obvious, and that your code is short and concise.

Motivation

sksq96

import gym
import pandas as pd
import numpy as np
import random

# https://gym.openai.com/envs/CartPole-v0
# Carlos Aguayo - carlos.aguayo@gmail.com


class QLearner(object):

sksq96

# -*- coding: utf-8 -*-
# @Author: shubham
# @Date:   2016-12-25 23:40:18
# @Last Modified by:   shubham
# @Last Modified time: 2017-01-07 15:30:41

import gym
from gym import wrappers
import numpy as np

sksq96

# (C) Kyle Kastner, June 2014
# License: BSD 3 clause

from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils import gen_batches
from scipy.linalg import eigh
from scipy.linalg import svd
import numpy as np

# From sklearn master

sksq96

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

sksq96

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

sksq96

How to install dlib HEAD (w/ python bindings) from github

These instructions assume you are on macOS, but basically the same on Linux.

Pre-reqs:

• Have Python 3 installed. On macOS, this could be installed from homebrew or even via standard Python 3.6 downloaded installer from https://www.python.org/download. On Linux, just use your package manager.
• On macOS, install XCode from the Mac App Store (or install the XCode command line utils).
• On Linux, install boost (sudo apt-get install libboost-all-dev)

sksq96

#! /usr/bin/env python3.5
"""

Fixing bluetooth stereo headphone/headset problem in ubuntu 16.04 and also debian jessie, with bluez5.

Workaround for bug: https://bugs.launchpad.net/ubuntu/+source/indicator-sound/+bug/1577197
Run it with python3.5 or higher after pairing/connecting the bluetooth stereo headphone.

This will be only fixes the bluez5 problem mentioned above .