mycodeschool

#include<cmath>
#include<iostream>
#include<climits>
using namespace std;

int Maximum_Sum_Subarray(int arr[],int n)	//Overall Time Complexity O(n)
{
	int ans = A[0],sum = 0;
	for(int i = 1;i < n; ++i)	//Check if all are negative
		ans = max(ans,arr[i]);	

LeCoupa

#!/bin/bash
#####################################################
# Name: Bash CheatSheet for Mac OSX
# 
# A little overlook of the Bash basics
#
# Usage:
#
# Author: J. Le Coupanec
# Date: 2014/11/04

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

BillyBadBoy

module Kmeans where

import System.Random

type Point = (Int, Int)
type Mean  = (Float, Float)
type Cluster = [Point]

i2f :: (Integral a, Num b) => a -> b
i2f = fromIntegral

tarlen5

"""
author: Timothy C. Arlen
date: 28 Feb 2018

Calculate Mean Average Precision (mAP) for a set of bounding boxes corresponding to specific
image Ids. Usage:

> python calculate_mean_ap.py

Will display a plot of precision vs recall curves at 10 distinct IoU thresholds as well as output