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@irazasyed
irazasyed / outbound-email-with-cloudflare.md
Last active April 25, 2024 15:00
Using Gmail SMTP with Cloudflare Email Routing: A Step-by-Step Guide

Using Gmail SMTP with Cloudflare Email Routing: Step-by-Step Guide

Learn how to send emails through Gmail SMTP with Cloudflare Email Routing in this comprehensive guide.

Step 1: Enable 2-Factor Authentication

To proceed with this method, ensure that you have enabled two-factor authentication for your Google account. If you haven't done so already, you can follow the link to set it up → Enable 2FA in your Google account.

Step 2: Create an App Password for Mail

julia> using JET, JET.JETInterfaces
julia> get_module(sv::Core.Compiler.InferenceState) = sv.mod
get_module (generic function with 2 methods)
julia> function get_module(linfo::Core.MethodInstance)
def = linfo.def
return isa(def, Module) ? def : def.module
end
get_module (generic function with 2 methods)
@rxwei
rxwei / ad-manifesto.md
Last active November 9, 2023 09:58
First-Class Automatic Differentiation in Swift: A Manifesto
@bogdan-kulynych
bogdan-kulynych / install-cuda-10-bionic.sh
Last active December 5, 2023 10:26
Install CUDA 10 on Ubuntu 18.04
# WARNING: These steps seem to not work anymore!
#!/bin/bash
# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"
# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
@karpathy
karpathy / pg-pong.py
Created May 30, 2016 22:50
Training a Neural Network ATARI Pong agent with Policy Gradients from raw pixels
""" 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
#!/bin/bash
# Run this on This AMI on AWS:
# https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-b36981d8
# You should get yourself a fully working GPU enabled tensorflow installation.
cd ~
# grab cuda 7.0
@nf
nf / vm-setup.sh
Last active June 14, 2023 22:08
Script for setting up Debian Jessie VM with my development environment
#!/bin/bash -e
echo '
PATH=$HOME/go/bin:$PATH
export GOPATH=$HOME
export CDPATH=.:$HOME/src/golang.org/x:$HOME/go/src:$HOME/src/github.com:$HOME/src/github.com/nf:$HOME/src/github.com/adg
export EDITOR=vim
' >> ~/.profile
sudo apt-get update
@syhw
syhw / dnn.py
Last active January 24, 2024 19:38
A simple deep neural network with or w/o dropout in one file.
"""
A deep neural network with or w/o dropout in one file.
License: Do What The Fuck You Want to Public License http://www.wtfpl.net/
"""
import numpy, theano, sys, math
from theano import tensor as T
from theano import shared
from theano.tensor.shared_randomstreams import RandomStreams
@rtt
rtt / tinder-api-documentation.md
Last active April 20, 2024 17:01
Tinder API Documentation

Tinder API documentation

Note: this was written in April/May 2014 and the API may has definitely changed since. I have nothing to do with Tinder, nor its API, and I do not offer any support for anything you may build on top of this. Proceed with caution

http://rsty.org/

I've sniffed most of the Tinder API to see how it works. You can use this to create bots (etc) very trivially. Some example python bot code is here -> https://gist.github.com/rtt/5a2e0cfa638c938cca59 (horribly quick and dirty, you've been warned!)

@cfj
cfj / console.reverselog.js
Last active August 21, 2017 10:00
More console.log sillyness
var _log = console.log;
window.console.log = function(log){
_log.call(console, log.reverse ? log.reverse() : typeof log === 'string' ? log.split('').reverse().join('') : typeof log === 'number' ? log.toString().split('').reverse().join('') : typeof log === 'boolean' ? !log : log);
};