wangg12

import os
import torch
import argparse
from maskrcnn_benchmark.config import cfg
from maskrcnn_benchmark.utils.c2_model_loading import load_c2_format


def removekey(d, listofkeys):
    r = dict(d)
    for key in listofkeys:

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

Get all starred repos

asutosh97

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

albertomontesg

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

abinashmeher999

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

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.

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

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