rondefreitas
/ DBENV.user.js
Last active
December 14, 2023 21:05
Databricks Environment Banner User Script
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| // ==UserScript== | |
| // @name Databricks Environment Banner | |
| // @source https://gist.githubusercontent.com/rondefreitas/05ae8c35bac3e429ec9624255fd88a2f | |
| // @namespace https://gist.githubusercontent.com/rondefreitas/05ae8c35bac3e429ec9624255fd88a2f | |
| // @updateURL https://gist.githubusercontent.com/rondefreitas/05ae8c35bac3e429ec9624255fd88a2f/raw/DBENV.user.js | |
| // @downloadURL https://gist.githubusercontent.com/rondefreitas/05ae8c35bac3e429ec9624255fd88a2f/raw/DBENV.user.js | |
| // @supportURL https://gist.githubusercontent.com/rondefreitas/05ae8c35bac3e429ec9624255fd88a2f#new_comment_field | |
| // @version 0.50 | |
| // @description Display Colored Banners for Databricks AWS Workspaces based on Subdomain | |
| // @author Ron DeFreitas |
himaprasoonpt
/ block_system_import.py
Last active
September 12, 2021 00:30
Block os import and any other system import in python
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| from contextlib import contextmanager | |
| @contextmanager | |
| def block_system_import(): | |
| block_import = ["os",'sys'] | |
| saved = {} | |
| import sys | |
| for i in block_import: | |
| saved[i] = sys.modules[i] | |
| sys.modules[i] = None | |
| yield None |
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| version: "3.3" | |
| services: | |
| mongo: | |
| image: mongo:4.1.1 | |
| restart: on-failure | |
| command: --wiredTigerCacheSizeGB 3 | |
| ports: | |
| # Charts db is available under port 27018 to not block the default mongo port | |
| - "8082:8081" |
omoindrot
/ tensorflow_finetune.py
Last active
October 7, 2024 18:58
Example TensorFlow script for fine-tuning a VGG model (uses tf.contrib.data)
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| """ | |
| Example TensorFlow script for finetuning a VGG model on your own data. | |
| Uses tf.contrib.data module which is in release v1.2 | |
| Based on PyTorch example from Justin Johnson | |
| (https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c) | |
| Required packages: tensorflow (v1.2) | |
| Download the weights trained on ImageNet for VGG: | |
| ``` | |
| wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz |
karpathy
/ pg-pong.py
Created
May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
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| """ Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """ | |
| import numpy as np | |
| import cPickle as pickle | |
| import gym | |
| # hyperparameters | |
| H = 200 # number of hidden layer neurons | |
| batch_size = 10 # every how many episodes to do a param update? | |
| learning_rate = 1e-4 | |
| gamma = 0.99 # discount factor for reward |
simonw
/ gist:68d19a46e8edc2cd8c68
Last active
October 13, 2021 00:04
Fix "Do you want the application "python" to accept incoming network connections?" by code signing the python executable in your virtualenv - copied here in case https://www.darklaunch.com/2014/02/02/fix-do-you-want-the-application-python-to-accept-incoming-network-connections ever goes away.
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| With the OS X firewall enabled, you can remove the "Do you want the application "python" to accept incoming network connections?" message. | |
| Create a self-signed certificate. | |
| Open Keychain Access. Applications > Utilities > Keychain Access. | |
| Keychain Access menu > Certificate Assistant > Create a Certificate... | |
| Enter a Name like "My Certificate". | |
| Select Identity Type: Self Signed Root | |
| Select Certificate Type: Code Signing | |
| Check the Let me override defaults box |
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| var debug = process.env.NODE_ENV !== "production"; | |
| var webpack = require('webpack'); | |
| module.exports = { | |
| context: __dirname, | |
| devtool: debug ? "inline-sourcemap" : null, | |
| entry: "./js/scripts.js", | |
| output: { | |
| path: __dirname + "/js", | |
| filename: "scripts.min.js" |
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| import sys,os | |
| import curses | |
| def draw_menu(stdscr): | |
| k = 0 | |
| cursor_x = 0 | |
| cursor_y = 0 | |
| # Clear and refresh the screen for a blank canvas | |
| stdscr.clear() |
m00nlight
/ gist:d72f3913bab79e8e6e75
Created
February 6, 2015 13:51
Python multiple consumer and producer problem
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| from Queue import Queue | |
| from threading import Thread | |
| from random import randrange | |
| queue = Queue(10) | |
| class Consumer(Thread): | |
| def __init__(self, queue): | |
| Thread.__init__(self) | |
| self.queue = queue |
ericremoreynolds
/ client.html
Last active
February 25, 2024 21:55
Flask-socket.io emit to specific clients
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| <html> | |
| <body> | |
| <h1>I feel lonely</h1> | |
| <script type="text/javascript" src="//code.jquery.com/jquery-2.1.3.min.js"></script> | |
| <script type="text/javascript" src="//cdnjs.cloudflare.com/ajax/libs/socket.io/0.9.16/socket.io.min.js"></script> | |
| <script type="text/javascript" charset="utf-8"> | |
| var socket = io.connect('http://' + document.domain + ':' + location.port); | |
| socket.on('connect', function() { | |
| socket.emit('connected'); |
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