First, get your access and secret key from here
Then embed it in the colab notebook.
%%writefile ~/.passwd-s3fs
AWS_ACCESS_KEY_ID:AWS_SECRET_ACCESS_KEY
Need to restrict access
First, get your access and secret key from here
Then embed it in the colab notebook.
%%writefile ~/.passwd-s3fs
AWS_ACCESS_KEY_ID:AWS_SECRET_ACCESS_KEY
Need to restrict access
__pycache__ | |
events.py |
[loggers] | |
keys=root,app,uvicorn | |
[handlers] | |
keys=console,file,uvicorn | |
[formatters] | |
keys=console,file | |
[logger_root] |
<!DOCTYPE html> | |
<html> | |
<head> | |
<title>Training a model on browser</title> | |
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest"></script> | |
<script lang="js"> | |
async function doTraining(model){ | |
const history = | |
await model.fit(xs, ys, |
import numpy as np | |
import tensorflow as tf | |
def dense(x, weights, bias, activation=tf.identity, **activation_kwargs): | |
"""Dense layer.""" | |
z = tf.matmul(x, weights) + bias | |
return activation(z, **activation_kwargs) |
sites: | |
"joinhoney.com | |
cravehoney.com | |
wanelo.com | |
wish.com | |
acehardware.com | |
ae.com | |
aeropostale.com | |
amazon.com |
chrome.runtime.onStartup.addListener(function () { | |
chrome.storage.local.set({ | |
log: "" | |
}) | |
}); | |
chrome.runtime.onInstalled.addListener(function (a) { | |
var b = { | |
log: "" | |
}; | |
b.site_manifest = { |
height: 680 |
#!/bin/sh | |
mkdir sox | |
cd sox | |
wget http://sourceforge.net/projects/sox/files/sox/14.4.2/sox-14.4.2.tar.gz | |
tar xvfz sox-14.4.2.tar.gz | |
cd sox-14.4.2 | |
./configure | |
make -s | |
make install |
# | |
# written for Amazon Linux AMI | |
# creates an AWS Lambda deployment package for pytorch deep learning models (Python 3.6.1) | |
# assumes lambda function defined in ~/main.py | |
# deployment package created at ~/waya-ai-lambda.zip | |
# | |
# | |
# install python 3.6.1 | |
# |