Action | Shortcut |
---|---|
switch fullscreen mode | Ctrl +f |
resize window to 1:1 (pixel-perfect) | Ctrl +g |
resize window to remove black borders | Ctrl +x | Double-click¹ |
click on HOME |
Ctrl +h | Middle-click |
click on BACK |
Ctrl +b | Right-click² |
click on APP_SWITCH |
Ctrl +m |
Using NCSDK 1.12.00, lastest as of April 2018
Version | Average Inference Time |
---|
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if (!([Security.Principal.WindowsPrincipal][Security.Principal.WindowsIdentity]::GetCurrent()).IsInRole([Security.Principal.WindowsBuiltInRole] "Administrator")) { Start-Process powershell.exe "-NoProfile -ExecutionPolicy Bypass -File `"$PSCommandPath`"" -Verb RunAs; exit } | |
if (!(Get-Command choco -errorAction SilentlyContinue)) | |
{ | |
Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy RemoteSigned -Confirm:$false | |
"choco not exists or not installed, begin installing chocolatey..." | |
$script = New-Object Net.WebClient | |
$script | Get-Member | |
$script.DownloadString("https://chocolatey.org/install.ps1") | |
iwr https://chocolatey.org/install.ps1 -UseBasicParsing | iex |
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# code $profile.CurrentUserAllHosts | |
Import-Module posh-git | |
function ga { | |
git add $args | |
} | |
function gaa { | |
git add --all | |
} | |
function gb { | |
git branch |
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Rank (duplicates merged) | Model | Technique | Paper | Notes | |
---|---|---|---|---|---|
1 | MARS | BiLSTM + attn | https://posts.careerengine.us/p/5ad8637755ba6b136fc793ad | (slides in English, notes in Chinese) | |
2 | QANet | attn | https://arxiv.org/abs/1804.09541 | ||
3 | Reinforced Mnemonic Reader | BiLSTM | https://arxiv.org/abs/1705.02798 | ||
4 | r-net | BiGRU | https://www.microsoft.com/en-us/research/wp-content/uploads/2017/05/r-net.pdf | ||
5 | SLQA+ | BiLSTM | http://www.aclweb.org/anthology/P18-1158 | ||
6 | BiDAF + Self Attention + ELMo + A2D | BiGRU | https://arxiv.org/abs/1710.10723 | ||
7 | Hybrid AoA Reader | BiGRU | https://arxiv.org/abs/1607.04423 | ||
8 | MAMCN+ | BiGRU | http://www.aclweb.org/anthology/W18-2603 | ||
9 | MDReader | unknown |
Ubuntu: may need to export libjvm.so
ls -l /etc/alternatives/java
will output something like: /etc/alternatives/java -> /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java
then do:
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/jvm/java-8-openjdk-amd64/jre/lib/amd64/server/
export JCC_JDK=/usr/lib/jvm/java-8-openjdk-amd64
for macOS:
easy_install JCC-3.2-py3.6-macosx-10.13-x86_64.egg lucene-7.5.0-py3.6-macosx-10.13-x86_64.egg
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use feed dict instead of directly pass tensor | |
embeddings = self.session.run(self.encoding_tensor, feed_dict={ | |
self.input_placeholder: need_compute | |
}) | |
# si_emb = self.session.run(self.embed([s]))[0] |
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RCol='\e[0m' # Text Reset | |
# Regular Bold Underline High Intensity BoldHigh Intens Background High Intensity Backgrounds | |
Bla='\e[0;30m'; BBla='\e[1;30m'; UBla='\e[4;30m'; IBla='\e[0;90m'; BIBla='\e[1;90m'; On_Bla='\e[40m'; On_IBla='\e[0;100m'; | |
Red='\e[0;31m'; BRed='\e[1;31m'; URed='\e[4;31m'; IRed='\e[0;91m'; BIRed='\e[1;91m'; On_Red='\e[41m'; On_IRed='\e[0;101m'; | |
Gre='\e[0;32m'; BGre='\e[1;32m'; UGre='\e[4;32m'; IGre='\e[0;92m'; BIGre='\e[1;92m'; On_Gre='\e[42m'; On_IGre='\e[0;102m'; | |
Yel='\e[0;33m'; BYel='\e[1;33m'; UYel='\e[4;33m'; IYel='\e[0;93m'; BIYel='\e[1;93m'; On_Yel='\e[43m'; On_IYel='\e[0;103m'; | |
Blu='\e[0;34m'; BBlu='\e[1;34m'; UBlu='\e[4;34m'; IBlu='\e[0;94m'; BIBlu='\e[1;94m'; On_Blu='\e[44m'; On_IBlu='\e[0;104m'; | |
Pur='\e[0;35m'; BPur='\e[1;35m'; UPur='\e[4;35m'; IPur='\e[0;95m'; BIPur='\e[1;95m'; On_Pur='\e[45m'; On_IPur='\e[0;105m'; | |
C |
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import itertools | |
def grouper(iterable, n, fillvalue=None): | |
"""Collect data into fixed-length chunks or blocks""" | |
# grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx | |
args = [iter(iterable)] * n | |
return itertools.zip_longest(*args, fillvalue=fillvalue) | |
a=itertools.chain.from_iterable(itertools.repeat(['a', 'b', 'c'], 4)) | |
b=itertools.chain.from_iterable(itertools.repeat(['d', 'e', 'f', 'g'], 3)) |
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''' Script for downloading all GLUE data. | |
Note: for legal reasons, we are unable to host MRPC. | |
You can either use the version hosted by the SentEval team, which is already tokenized, | |
or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually. | |
For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example). | |
You should then rename and place specific files in a folder (see below for an example). | |
mkdir MRPC | |
cabextract MSRParaphraseCorpus.msi -d MRPC |