mtngld

# based on https://devtalk.nvidia.com/default/topic/880246/cuda-setup-and-installation/cuda-7-5-unstable-on-ec2-/post/4830634/#4830634

export DEBIAN_FRONTEND=noninteractive
sudo apt-get update -q -y
sudo apt-get -q -y -o Dpkg::Options::="--force-confdef" -o Dpkg::Options::="--force-confold" install linux-generic
wget http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb

sudo dpkg -i cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb
sudo apt-get update -q -y
sudo apt-get install cuda -q -y

Manojbhat09

    Brython
    Skulpt
    PyPy.js
    Transcrypt
    Pyodide


Good Summary of current methods:
https://stackoverflow.com/questions/30155551/python-in-browser-how-to-choose-between-brython-pypy-js-skulpt-and-transcrypt

Manojbhat09

Credits: Zuxin Liu https://github.com/liuzuxin

Ubuntu 18.04 Environment Configuration (from beginning to giving up)

1. Install Ubuntu

• make sure that the /swap partition is twice larger than the computer memory.
• 25GB is enough for root /.
• The /boot partition should be use as 'EFI system partition'. 1GB is enough.
• The / partition should be of 'primary' type. Others should be 'logical'.

Manojbhat09

'''Intro
If you have "Multiple Nested loops" to operate on a list with O(n^k) complexity,
Save time complex on itermediate list operations by utilizing python map-reduce!
'''

import numpy as np
from itertools import product
import time

'''Proposed

yptheangel

// Tip 1: Do not save the updater if you do not plan to continue training your model
// Set false for saveUpdater flag.
ModelSerializer.writeModel(model, modelFilename, false);
// Results: Model size drop almost 40%.

// Tip 2: Convert FP32 to FP16 floating point precision(Quantization), currently DL4J only supports float. {DOUBLE, FLOAT, HALF}
// Convert the parameters just as below:
model = model.convertDataType(DataType.HALF);
// Results: Model size drop by 50%, half of its original size. Accuracy did not drop.

johnhany

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

#define PIXELS_IN_IMAGE 28*28

#define ENABLE_TRAIN 1

alyssaq

C++ STL Containers

###Containers Forward Container: forward iterators - increment only in O(1)

• begin(), end()
• All containers

Reversible Container: bidirectional iterators - increment and decrement in O(1)

• rbegin(), rend()

Manojbhat09

# machine learning 101: dbscan 
# wonderful unsupervised clustering, fast and works efficiently
# checkout HDBSCAN for an even more beautiful algorithm

'''
How to write dbscan:
1. look into the probem of clustering 
2. start by first sample
3. compute the distance, get the neighbors
4. if the neighs are more than min samples, store the nighbors and expand recursively, save to same cluster and return, keep visited to avoid cycles, 

drj11

How to memorise ASCII

You don't need to memorise ASCII as there is a handy chart available by typing man ascii in a Terminal. However, you may find it useful to remember some fun facts about ASCII.

Blocks of 32 are useful. 32 is 2⁵ (2 raised to the power 5) and a block of 32 is enough to represent all 26 common english letters plus some extra stuff.

ASCII is a coding for the first 128 numbers. 0 to 127.

kanhua

This gist demonstrates how to setup a python project that process a numpy array from C language.

To compile the project, run

make all

To test it, run

make test