Xiyang Chen settinghead

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Example on how to run locally an AWS Lambda via API Gateway using localstack.

Based on...

Current configuration works for my GPU and notebook, hope it helps


	/loop — Detailed Implementation in versions/2.1.71/cli.js

	Overview

	/loop is a slash command (skill) that schedules a prompt to run on a recurring
	interval. It is syntactic sugar over the internal Kairos Cron scheduling
	system (CronCreate / CronDelete / CronList tools).

	---

	// Type definitions for react-table 7
	// Project: https://github.com/tannerlinsley/react-table#readme
	// Definitions by: Grsmto <https://github.com/grsmto>
	// Definitions: https://github.com/DefinitelyTyped/DefinitelyTyped
	// TypeScript Version: 3.0
	declare module 'react-table' {
	export type Cell = {
	render: (type: string) => any;
	getCellProps: () => any;
	column: Column;

	/*
	* Usage:
	* <PopoverStickOnHover
	* component={<div>Holy guacamole! I'm Sticky.</div>}
	* placement="top"
	* onMouseEnter={() => { }}
	* delay={200}
	* >
	* <div>Show the sticky tooltip</div>
	* </PopoverStickOnHover>

	location /blog/ {
	#auth_basic "Restricted";
	#auth_basic_user_file /etc/nginx/.htpasswd;
	proxy_pass https://test-blog.bitstarz.com/;
	proxy_set_header X-Forwarded-Host $host;
	proxy_set_header X-Forwarded-Proto $scheme;
	}

	from __future__ import absolute_import
	from __future__ import division
	from __future__ import print_function
	from __future__ import print_function

	import sys

	import numpy as np
	import os
	import tensorflow as tf

	pragma solidity ^0.4.0;

	import "SafeMath.sol";
	import "IERC20Token.sol";

	/**
	* @dev Implements a capped token sale using a second-price auction.
	*
	* @author Nick Johnson <arachnid@notdot.net>
	*

	/**
	* Johannes Zweng <john@zweng.at>, 2017
	*
	* This simple script just loads the 2 bancor contracts (Crowdsale and BNT Token)
	* into the geth client and then provides a single status function which you
	* can call on the geth console to query the current status of the crowdsale.
	*
	* Usage:
	* ------
	* 1) Start geth instance

	"""adapted from https://github.com/OlavHN/bnlstm to store separate population statistics per state"""
	import tensorflow as tf, numpy as np
	RNNCell = tf.nn.rnn_cell.RNNCell

	class BNLSTMCell(RNNCell):
	'''Batch normalized LSTM as described in arxiv.org/abs/1603.09025'''
	def __init__(self, num_units, is_training_tensor, max_bn_steps, initial_scale=0.1, activation=tf.tanh, decay=0.95):
	"""
	* max bn steps is the maximum number of steps for which to store separate population stats
	"""