- Copy content of
vsix-bookmarklet
, create a bookmark in your browser. - Navigate to the web page of the VS Code extension you want to install.
- Click the bookmark you just created, then click the download button.
- After download finished, rename the file extension to
*.vsix
. - In VS Code, select Install from VSIX... in the extension context menu.
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import numpy as np | |
import pandas as pd | |
from keras.models import Sequential | |
from keras.layers import Dense, LSTM, Dropout, Conv2D, Reshape, TimeDistributed, Flatten, Conv1D,ConvLSTM2D, MaxPooling1D | |
from keras.layers.core import Dense, Activation, Dropout | |
from sklearn.preprocessing import MinMaxScaler | |
from sklearn.metrics import mean_squared_error | |
import tensorflow as tf | |
import matplotlib.pyplot as plt |
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// Fix iOS Audio Context by Blake Kus https://gist.github.com/kus/3f01d60569eeadefe3a1 | |
// MIT license | |
(function() { | |
window.AudioContext = window.AudioContext || window.webkitAudioContext; | |
if (window.AudioContext) { | |
window.audioContext = new window.AudioContext(); | |
} | |
var fixAudioContext = function (e) { | |
if (window.audioContext) { | |
// Create empty buffer |