Skip to content

Instantly share code, notes, and snippets.

View ronert's full-sized avatar

Ronert Obst ronert

17 followers · 43 following
View GitHub Profile
@kashif
kashif / cifar10_resnet.py
Last active February 3, 2021 09:06
Keras Pre-activation Residual Network for CIFAR-10
from __future__ import print_function
from keras.datasets import cifar10
from keras.layers import merge, Input
from keras.layers.convolutional import Convolution2D, ZeroPadding2D, AveragePooling2D
from keras.layers.core import Dense, Activation, Flatten
from keras.layers.normalization import BatchNormalization
from keras.models import Model
from keras.preprocessing.image import ImageDataGenerator
from keras.utils import np_utils
@debasishg
debasishg / gist:8172796
Last active May 10, 2024 13:37
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
@widged
widged / d3lib.md
Created October 4, 2013 03:29
d3 libraries

chartFactory

/affini-tech/ChartFactory

Based on D3.JS and Dimple, ChartFactory provide the ability to build quickly D3.JS charts without coding any lines of javascript. Just define your dashboard in a JSON and voila !

charts: [
        {id:'chart1',
         width:800,height:250,

xAxis:{type:'Category',field: "Month",orderRule:'Date'},

@wpm
wpm / spark_parallel_boost.py
Last active December 3, 2018 02:56
A simple example of how to integrate the Spark parallel computing framework and the scikit-learn machine learning toolkit. This script randomly generates test and train data sets, trains an ensemble of decision trees using boosting, and applies the ensemble to the test set. The ensemble training is done in parallel.
from pyspark import SparkContext
import numpy as np
from sklearn.cross_validation import train_test_split, Bootstrap
from sklearn.datasets import make_classification
from sklearn.metrics import accuracy_score
from sklearn.tree import DecisionTreeClassifier
def run(sc):
@vatsan
vatsan / PyMADlib_Tutorial
Created March 30, 2013 08:09
PyMADlib - Tutorial A Python wrapper for MADlib (http://madlib.net) - an open source library for scalable in-database machine learning algorithms
{
"metadata": {
"name": "PyMADlib"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
@dsparks
dsparks / tapered-intensity-curved_edges.R
Last active December 8, 2021 12:23
Beautiful tapered-intensity-curved edge network graph with ggplot2
doInstall <- TRUE # Change to FALSE if you don't want packages installed.
toInstall <- c("sna", "ggplot2", "Hmisc", "reshape2")
if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")}
lapply(toInstall, library, character.only = TRUE)
# Empty ggplot2 theme
new_theme_empty <- theme_bw()
new_theme_empty$line <- element_blank()
new_theme_empty$rect <- element_blank()
new_theme_empty$strip.text <- element_blank()
@agnoster
agnoster / README.md
Last active April 6, 2024 22:35
My ZSH Theme

agnoster.zsh-theme

A ZSH theme optimized for people who use:

  • Solarized
  • Git
  • Unicode-compatible fonts and terminals (I use iTerm2 + Menlo)

For Mac users, I highly recommend iTerm 2 + Solarized Dark

@alvinj
alvinj / sbtmkdirs.sh
Last active January 24, 2024 19:39
A shell script to create an SBT project directory structure
#!/bin/bash
#------------------------------------------------------------------------------
# Name: sbtmkdirs
# Version: 1.5
# Purpose: Create an SBT project directory structure with a few simple options.
# Author: Alvin Alexander, http://alvinalexander.com
# License: Creative Commons Attribution-ShareAlike 2.5 Generic
# http://creativecommons.org/licenses/by-sa/2.5/
#------------------------------------------------------------------------------