jeromer

# LICENSE: public domain

def calculate_initial_compass_bearing(pointA, pointB):
    """
    Calculates the bearing between two points.

    The formulae used is the following:
        θ = atan2(sin(Δlong).cos(lat2),
                  cos(lat1).sin(lat2) − sin(lat1).cos(lat2).cos(Δlong))

nlguillemot

@ CSC230 Spring 2012 -- Treadmill program
@ Author: Nicolas Guillemot
@ Student ID number: V00695164

@ Global constants for physics
        @ default value for weight
        .equ    DFT_WEIGHT,             100 @ lbs
        @ minimum value for weight (see WeightMax for maximum)
        .equ    WEIGHT_MIN,             50 @ lbs
        @ default value for target speed

rishirdua

##Configuring Ubuntu for using IIT Delhi internet

For details http://www.cc.iitd.ernet.in/ and http://mirror.iitd.ernet.in

Thanks Vibhav Sinha for helping in compiling this

###Contents:

1. Setting environment variables
2. Using software repository

nylki

do androids dream of cooking?

The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.

The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.

abinashmeher999

#include <cmath>
#include <climits>
#include <queue>
#include <vector>
#include <map>
#include <cstdlib>
#include <fstream>
#include <iomanip>   
#include <iostream>  
#include <sstream>  // istringstream buffer(myString);

kastnerkyle

# Stacked LSTMs
# Author: Kyle Kastner
# Based on script from /u/siblbombs
# License: BSD 3-Clause
import tensorflow as tf
from tensorflow.models.rnn import rnn
from tensorflow.models.rnn.rnn_cell import LSTMCell
import numpy as np
import time

albertomontesg

nbortolotti

import sys
import os
import cv2
import numpy as np
import tensorflow as tf

sys.path.append("..")

from object_detection.utils import label_map_util

asutosh97

justlaputa

About

How to unstar all your github stars with API

Generate a github personal token

visit here: https://github.com/settings/tokens make sure to check repo scope, it is needed to unstar

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