tusharbabbar

Setting up AngularJS dev env for Ubuntu

This information is read from https://thinkster.io/learn-to-build-realtime-webapps/

Installing nodeJS and npm

Installing npm

• curl -L https://npmjs.org/install.sh | sh (Run as root -- sudo su)
• For details read https://www.npmjs.com/package/npm

Installing nodeJS

• curl -sL https://deb.nodesource.com/setup | sudo bash - (Run as root -- sudo su)

renshuki

Install Terminator (shell)

sudo add-apt-repository ppa:gnome-terminator
sudo apt-get update
sudo apt-get install terminator

Terminator should be setup as default now. Restart your terminal (shortcut: "Ctrl+Alt+T").

Install ZSH

vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

yrevar

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

manojpandey

Attack of Pythons

Among computer programmers, a “gotcha” has become a term for a feature of a programming language that is likely to play tricks on you to display behavior that is different than what you expect.

Just as a fly or a mosquito can “bite” you, we say that a gotcha can “bite” you. So, let's proceed to examine some of Python's gotchas !

---

jon-barker

name: "DetectNet"
layer {
  name: "train_data"
  type: "Data"
  top: "data"
  include {
    phase: TRAIN
  }
  data_param {
    batch_size: 2

avanetten

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Dec 21 09:46:53 2016

@author: avanetten
"""

'''
Transform SpaceNet geojson buidling labels data into raster masks.

panovr

import argparse
import os
import shutil
import time

import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim

Nikasa1889

# [filter size, stride, padding]
#Assume the two dimensions are the same
#Each kernel requires the following parameters:
# - k_i: kernel size
# - s_i: stride
# - p_i: padding (if padding is uneven, right padding will higher than left padding; "SAME" option in tensorflow)
# 
#Each layer i requires the following parameters to be fully represented: 
# - n_i: number of feature (data layer has n_1 = imagesize )
# - j_i: distance (projected to image pixel distance) between center of two adjacent features

wassname

import numpy as np
import h5py

class HDF5Store(object):
    """
    Simple class to append value to a hdf5 file on disc (usefull for building keras datasets)
    
    Params:
        datapath: filepath of h5 file
        dataset: dataset name within the file