ruped24

#! /usr/bin/env python2
# -*- coding: utf-8 -*-
# forked from egel/auto-remove-sublime-license-popup
# https://gist.github.com/egel/b7beba6f962110596660

from commands import getoutput as cl
from threading import Event, Thread

from sublime_plugin import EventListener

silentworks

$ sudo bash -c "$(curl -s https://gist.githubusercontent.com/zulhfreelancer/0b87a274686cb4d98b8144e116c5117c/raw)"

jlis

image: docker:latest

variables:
  REPOSITORY_URL: <AWS ACCOUNT ID>.dkr.ecr.eu-central-1.amazonaws.com/<ECS REPOSITORY NAME>
  REGION: eu-central-1
  TASK_DEFINTION_NAME: <TASK DEFINITION NAME>
  CLUSTER_NAME: <CLUSTER NAME>
  SERVICE_NAME: <SERVICE NAME>

services:

GNSPS

/***
* Shoutouts:
* 
* Bytecode origin https://www.reddit.com/r/ethereum/comments/6ic49q/any_assembly_programmers_willing_to_write_a/dj5ceuw/
* Modified version of Vitalik's https://www.reddit.com/r/ethereum/comments/6c1jui/delegatecall_forwarders_how_to_save_5098_on/
* Credits to Jorge Izquierdo (@izqui) for coming up with this design here: https://gist.github.com/izqui/7f904443e6d19c1ab52ec7f5ad46b3a8
* Credits to Stefan George (@Georgi87) for inspiration for many of the improvements from Gnosis Safe: https://github.com/gnosis/gnosis-safe-contracts
* 
* This version has many improvements over the original @izqui's library like using REVERT instead of THROWing on failed calls.
* It also implements the awesome design pattern for initializing code as seen in Gnosis Safe Factory: https://github.com/gnosis/gnosis-safe-contracts/blob/master/contracts/ProxyFactory.sol

giuseppebonaccorso

import keras.backend as K
import multiprocessing
import tensorflow as tf

from gensim.models.word2vec import Word2Vec

from keras.callbacks import EarlyStopping
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Flatten
from keras.layers.convolutional import Conv1D

rspeer

heiswayi

First Method

Deleting the .git folder may cause problems in our git repository. If we want to delete all of our commits history, but keep the code in its current state, try this:

# Check out to a temporary branch:
git checkout --orphan TEMP_BRANCH

# Add all the files:
git add -A

philipperemy

from __future__ import print_function

import os

import numpy as np
from keras.layers import RepeatVector
from keras.layers.core import Dropout
from keras.layers.recurrent import LSTM
from keras.models import Sequential
from keras.models import load_model

brandongalbraith

Who pays when startup employees keep their equity?

JD Maturen, 2016/07/05, San Francisco, CA

As has been much discussed, stock options as used today are not a practical or reliable way of compensating employees of fast growing startups. With an often high strike price, a large tax burden on execution due to AMT, and a 90 day execution window after leaving the company many share options are left unexecuted.

There have been a variety of proposed modifications to how equity is distributed to address these issues for individual employees. However, there hasn't been much discussion of how these modifications will change overall ownership dynamics of startups. In this post we'll dive into the situation as it stands today where there is very near 100% equity loss when employees leave companies pre-exit and then we'll look at what would happen if there were instead a 0% loss rate.

What we'll see is that employees gain nearly 3-fold, while both founders and investors – particularly early investors – get dilute

jdmaturen

Who pays when startup employees keep their equity?

JD Maturen, 2016/07/05, San Francisco, CA

As has been much discussed, stock options as used today are not a practical or reliable way of compensating employees of fast growing startups. With an often high strike price, a large tax burden on execution due to AMT, and a 90 day execution window after leaving the company many share options are left unexecuted.

There have been a variety of proposed modifications to how equity is distributed to address these issues for individual employees. However, there hasn't been much discussion of how these modifications will change overall ownership dynamics of startups. In this post we'll dive into the situation as it stands today where there is very near 100% equity loss when employees leave companies pre-exit and then we'll look at what would happen if there were instead a 0% loss rate.

What we'll see is that employees gain nearly 3-fold, while both founders and investors – particularly early investors – get dilute