Skip to content

Instantly share code, notes, and snippets.

BigsnarfDude bigsnarfdude

View GitHub Profile
@initbrain
initbrain / NOTICE.md
Last active Jan 8, 2017
Python Wi-Fi Positioning System, use Google Maps Geolocation API, tested on GNU/Linux (require iw) and Mac OS X (require airport), special thanks go to contributors!
View NOTICE.md
@nicolov
nicolov / .gitignore
Last active Jul 2, 2020
Car speed estimation from a windshield camera
View .gitignore
*.pyc
*.tar.gz
*.mp4
@karpathy
karpathy / pg-pong.py
Created May 30, 2016
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
View pg-pong.py
""" 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
@ewnd9
ewnd9 / install.sh
Last active Jun 28, 2020
google's deepdream ubuntu installation
View install.sh
# sources
# http://www.scipy.org/install.html
# http://sohliloquies.blogspot.ru/2015/07/setting-up-deep-dream-google-researchs.html
# https://github.com/BVLC/caffe/wiki/Ubuntu-14.04-VirtualBox-VM
# ~2gb dependencies
mkdir deep-dream && cd deep-dream
sudo apt-get install subversion cmake
@johnynek
johnynek / AliceInAggregatorLand.scala
Last active Jun 5, 2020
A REPL Example of using Aggregators in scala
View AliceInAggregatorLand.scala
/**
* To get started:
* git clone https://github.com/twitter/algebird
* cd algebird
* ./sbt algebird-core/console
*/
/**
* Let's get some data. Here is Alice in Wonderland, line by line
*/
@syhw
syhw / dnn.py
Last active Apr 29, 2020
A simple deep neural network with or w/o dropout in one file.
View dnn.py
"""
A deep neural network with or w/o dropout in one file.
License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
"""
import numpy, theano, sys, math
from theano import tensor as T
from theano import shared
from theano.tensor.shared_randomstreams import RandomStreams
@johnynek
johnynek / scalding_alice.scala
Created Jul 18, 2014
Learn Scalding with Alice
View scalding_alice.scala
/**
git clone https://github.com/twitter/scalding.git
cd scalding
./sbt scalding-repl/console
*/
import scala.io.Source
val alice = Source.fromURL("http://www.gutenberg.org/files/11/11.txt").getLines
// Add the line numbers, which we might want later
val aliceLineNum = alice.zipWithIndex.toList
@debasishg
debasishg / gist:8172796
Last active Jun 24, 2020
A collection of links for streaming algorithms and data structures
View gist:8172796
  1. General Background and Overview
@azymnis
azymnis / ItemSimilarity.scala
Created Dec 13, 2013
Approximate item similarity using LSH in Scalding.
View ItemSimilarity.scala
import com.twitter.scalding._
import com.twitter.algebird.{ MinHasher, MinHasher32, MinHashSignature }
/**
* Computes similar items (with a string itemId), based on approximate
* Jaccard similarity, using LSH.
*
* Assumes an input data TSV file of the following format:
*
* itemId userId
View Makefile
obj-m += rootkit.o
all:
make -C /lib/modules/$(shell uname -r)/build M=$(PWD) modules
clean:
make -C /lib/modules/$(shell uname -r)/build M=$(PWD) clean
You can’t perform that action at this time.