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
Jon panamantis
panamantis
/ s3_mount.md
Created
August 3, 2020 22:37
— forked from korakot/s3_mount.md
panamantis
/ .gitignore
Created
June 27, 2020 13:47
Terminal Services session event monitor for http://superuser.com/q/264935
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| __pycache__ | |
| events.py |
panamantis
/ logging.ini
Created
June 20, 2020 13:22
Python logging configuration files (yaml, json, ini)
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| [loggers] | |
| keys=root,app,uvicorn | |
| [handlers] | |
| keys=console,file,uvicorn | |
| [formatters] | |
| keys=console,file | |
| [logger_root] |
panamantis
/ TensorflowFromBrowser.html
Created
January 2, 2020 13:34
— forked from novasush/TensorflowFromBrowser.html
Training and predicting an equation in chrome browser asynchronously using tensorflow.js
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| <!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, |
panamantis
/ dqn_template_inprogress01.py
Created
January 1, 2020 16:55
— forked from rayheberer/dqn_template_inprogress01.py
Mostly empty template, basic network implemented
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| 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) |
panamantis
/ gist:efbaa60f4149aaf82a249463ee37d649
Created
November 21, 2019 14:23
— forked from dvliman/gist:10016177
joinhoney affiliate vendors
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| sites: | |
| "joinhoney.com | |
| cravehoney.com | |
| wanelo.com | |
| wish.com | |
| acehardware.com | |
| ae.com | |
| aeropostale.com | |
| amazon.com |
panamantis
/ gist:53b3b4c5d91adef0edaf3252ae05d001
Created
November 21, 2019 14:22
— forked from dvliman/gist:10016069
join honey chrome extension
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| chrome.runtime.onStartup.addListener(function () { | |
| chrome.storage.local.set({ | |
| log: "" | |
| }) | |
| }); | |
| chrome.runtime.onInstalled.addListener(function (a) { | |
| var b = { | |
| log: "" | |
| }; | |
| b.site_manifest = { |
panamantis
/ .block
Created
October 31, 2019 11:49
— forked from nbremer/.block
Gooey effect - Data visualization showcase
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| height: 680 |
panamantis
/ install-sox-amazon-linux.sh
Created
January 8, 2019 22:14
— forked from chrisjz/install-sox-amazon-linux.sh
Install sox on Amazon Linux
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| #!/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 |
panamantis
/ pytorch-lambda-deploy.sh
Created
August 25, 2018 14:02
— forked from mjdietzx/pytorch-lambda-deploy.sh
AWS Lambda pytorch deep learning deployment package (building pytorch and numpy from source on EC2 Amazon Linux AMI)
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| # | |
| # 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 | |
| # |
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