reddragon

import gym
import logging
import sys
import numpy as np
from gym import wrappers

import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as F

reddragon

import gym
import logging
import sys
import numpy as np
from gym import wrappers

import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as F

reddragon

import gym
import logging
import sys
import numpy as np
from gym import wrappers

import torch
import torchvision
import torch.nn as nn
import torch.nn.functional as F

reddragon

1. embeddings.js: word2vec in Javascript

reddragon

'''
Linear Regression From First Principles
Author: Gaurav Menghani (gaurav.menghani@gmail.com)
'''

import numpy as np
import matplotlib.pyplot as plt

def linear_sum(X, W, b):
    return X.dot(W) + b

reddragon

#include <iostream>
using namespace std;

struct Node {
  int val;
  Node *next;
};

void print(Node* n) {

reddragon

import urllib
import simplejson as json

def get_followers_url(handle):
	return 'https://api.twitter.com/1/followers/ids.json?cursor=-1&screen_name=' + handle

def get_followers(handle):
	return json.load(urllib.urlopen(get_followers_url(handle)))['ids']

def get_friends_url(handle):

reddragon

    struct Slope {
      int n, d;  
      Slope(int nn, int dd) {
          int g = gcd(abs(nn), abs(dd));
          // cout << "gcd of " << nn << ", " << dd << " is: " << g << endl;
          n = (g > 0 ? nn/g : nn);
          d = (g > 0 ? dd/g : dd);
      }
    };
    

reddragon

#pragma once

#include <iostream>
#include <cassert>
#include <set>
#include <map>
#include <vector>
#include <algorithm>
#include <utility>
#include <cstdio>

reddragon

#include <iostream>
#include <cassert>
#include <set>
#include <map>
#include <vector>
#include <algorithm>
#include <utility>
#include <cstdio>
#include <limits>
#include <bitset>