amir-rahnama

"""A generic module to read data."""
import numpy
import collections
from tensorflow.python.framework import dtypes


class DataSet(object):
    """Dataset class object."""

    def __init__(self,

karpathy

""" 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

vidavidorra

Auto-deploying Doxygen documentation to gh-pages with Travis CI

This explains how to setup for GitHub projects which automatically generates Doxygen code documentation and publishes the documentation to the gh-pages branch using Travis CI. This way only the source files need to be pushed to GitHub and the gh-pages branch is automatically updated with the generated Doxygen documentation.

Sign up for Travis CI and add your project

Get an account at Travis CI. Turn on Travis for your repository in question, using the Travis control panel.

Create a clean gh-pages branch

To create a clean gh-pages branch, with no commit history, from the master branch enter the code below in the Git Shell. This will create a gh-pages branch with one file, the README.md in it. It doesn't really matter what file is uploaded in it since it will be overwritten when the automatically generated documentation is published to th

leosuncin

1. Install pip sudo apt-get install python-pip or wget https://bootstrap.pypa.io/get-pip.py && sudo python get-pip.py
2. Install powerline sudo pip install powerline-status
3. Download and install fonts git clone https://github.com/powerline/fonts.git && cd fonts && sh ./install.sh
4. Add this lines to respective file
   .vimrc

set rtp+=/usr/local/lib/python2.7/dist-packages/powerline/bindings/vim/
> " Always show statusline

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

lefticus

THIS DOCUMENT

IS OUT OF

DATE

See https://github.com/lefticus/cppbestpractices/blob/master/00-Table_of_Contents.md Instead!

C++ Coding Standards Part 0: Automated Code Analysis

Automated analysis is the main advantage to working with a modern statically typed compiled language like C++. Code analysis tools can inform us when we have implemented an operator overload with a non-canonical form, when we should have made a method const, or when the scope of a variable can be reduced.

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

mblondel

# Mathieu Blondel, October 2010
# License: BSD 3 clause

import numpy as np
from numpy import linalg

def linear_kernel(x1, x2):
    return np.dot(x1, x2)

def polynomial_kernel(x, y, p=3):