alxndrkalinin

import numpy as np
from keras.models import Model, Sequential
from keras.layers import Input, Dense, Activation
from keras.utils.data_utils import Sequence
from keras.losses import categorical_crossentropy
from keras.optimizers import SGD

class CustomSequence(Sequence):
    def __init__(self, x_set, y_set, batch_size):
        self.X,self.y = x_set,y_set

jeroenvermeulen

#!/usr/bin/env python
# source: https://gist.github.com/filipenf/e9901883d66b8da65c151cf674e5f2a9
#
# Reads fdupes(-r -1) output and create relative symbolic links for each duplicate
# usage: fdupes -r1 . | ./lndupes.py

import os
from os.path import dirname, relpath, basename, join
import sys
import shlex

JoaoRodrigues

Code now available at https://github.com/JoaoRodrigues/hydrophobic_moment with example usage and proper licensing.

max-mapper

chaoflow

import flask_sqlalchemy
from sqlalchemy import schema
from sqlalchemy.ext.compiler import compiles

db = flask_sqlalchemy.SQLAlchemy()


class Tag(db.Model):
    __table_args__ = {'info': {'without_rowid': True}}
    text = db.Column(db.String, primary_key=True)

filipenf

#!/usr/bin/env python
# Reads fdupes(-r -1) output and create relative symbolic links for each duplicate
# usage: fdupes -r1 . | ./lndupes.py

import os
from os.path import dirname, relpath, basename, join
import sys

lines = sys.stdin.readlines()

shantanuo

#!/bin/sh
TABLE_SCHEMA=$1
TABLE_NAME=$2

mytime=`date '+%y%m%d%H%M'`
hostname=`hostname | tr 'A-Z' 'a-z'`
file_prefix="trimax$TABLE_NAME$mytime$TABLE_SCHEMA"
bucket_name=$file_prefix
splitat="4000000000"
bulkfiles=200

keisukefukuda

#!/bin/sh

IF=eth0

iptables -F 
iptables -t nat -F
iptables -X
iptables -Z

# drop all packets by default