James Chang strategist922

序号	出版社一般写法	出版地	备注
1	AAAI	Menlo Park, CA	Association for the Advancement of Artificial Intelligence
2	Academic	同Elsevier	Academic Press is part of Elsevier
3	Academy Press	New York/ London/ Paris/ San Diedo,CA/ San Francisco,CA/ Sao Paulo/ Sydney/ Tokyo/Toronto	AP，Academy Press
4	ACL	Stroudsburg,PA	Association for Computational Linguistics
5	ACM	New York, NY	ACM Press,Association for Computing and Machinery
6	AP Professional	Boston,MA/ San Diedo,CA/New York/ London/ Sydney/ Tokyo/ Toronto
7	Chapman & Hall	London/ Glasgow/ Weinheim/ New York/ Madras	CH

mainly record pytorch implementations for NLI and similarity computing

REPOSITORY	REFERENCE
baidu/SimNet	SEVERAL
NTSC-Community/awaresome-neural-models-for-semantic-match	SEVERAL
lanwuwei/SPM_toolkit: ①DecAtt ②ESIM ③PWIM ④SSE	Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
MatchZoo (Keras Implementation): ①DSSM ②CDSSM ③ARC-I ④ARC-II ⑤MV-LSTM ⑥DRMM ⑦K-NRM ⑧CONV-KNRM ⑨DRMM-TKS ⑩BiMPM ...	MatchZoo: A Toolkit for Deep Text Matching ...
[likejazz/Si

mainly record pytorch implementations for NLI and similarity computing

REPOSITORY	REFERENCE
baidu/SimNet	SEVERAL
NTSC-Community/awaresome-neural-models-for-semantic-match	SEVERAL
lanwuwei/SPM_toolkit: ①DecAtt ②ESIM ③PWIM ④SSE	Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
MatchZoo (Keras Implementation): ①DSSM ②CDSSM ③ARC-I ④ARC-II ⑤MV-LSTM ⑥DRMM ⑦K-NRM ⑧CONV-KNRM ⑨DRMM-TKS ⑩BiMPM ...	MatchZoo: A Toolkit for Deep Text Matching ...
[likejazz/Si

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

	# -- coding: utf-8 --
	import requests
	import os
	import re
	# 163 api https://github.com/yanunon/NeteaseCloudMusic/wiki/%E7%BD%91%E6%98%93%E4%BA%91%E9%9F%B3%E4%B9%90API%E5%88%86%E6%9E%90

	def downloadlyric(songname):
	songname = re.search(r'.\\(.).mp3',songname)
	songname = songname.group(1)
	headers = {'referer':'http://music.163.com', 'appver':'2.0.2'}

	---------------------------------------------
	/etc/systemd/system/android-emulator.service:
	---------------------------------------------
	[Unit]
	Description=Android Emulator
	After=network.target

	[Service]
	Type=simple
	Environment=SHELL=/bin/bash

	---------------------------------------------
	/etc/systemd/system/android-emulator.service:
	---------------------------------------------
	[Unit]
	Description=Android Emulator
	After=network.target

	[Service]
	Type=simple
	Environment=SHELL=/bin/bash

	Steps for installing the Android Emulator from EC2 console:
	-----------------------------------------------------------
	sudo apt install default-jdk
	wget https://dl.google.com/android/repository/sdk-tools-linux-4333796.zip
	unzip sdk-tools-linux-4333796.zip -d android-sdk
	sudo mv android-sdk /opt/
	export ANDROID_SDK_ROOT=/opt/android-sdk
	echo "export ANDROID_SDK_ROOT=/opt/android-sdk" >> ~/.bashrc
	echo "export PATH=$PATH:$ANDROID_SDK_ROOT/tools" >> ~/.bashrc
	re-login

	#
	# Automatically generated file; DO NOT EDIT.
	# Linux/arm64 4.9.140-hypriot Kernel Configuration
	#
	CONFIG_ARM64=y
	CONFIG_64BIT=y
	CONFIG_ARCH_PHYS_ADDR_T_64BIT=y
	CONFIG_MMU=y
	CONFIG_DEBUG_RODATA=y
	CONFIG_ARM64_PAGE_SHIFT=12

	# vim: set fileencoding=utf-8 :
	import sys
	import numpy as np
	import cv2
	from naoqi import ALProxy

	if(len(sys.argv) <= 2):
	print "parameter error"
	print "python " + sys.argv[0] + " <ipaddr> <port>"
	sys.exit()