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@chrisalbon
chrisalbon / gist:9affdbe840ac0a30fd5d0faa63169eb0
Created March 2, 2024 19:18
VSCode Terminal <-> File keyboard shortcut
// Place your key bindings in this file to override the defaults
[
// Toggle between terminal and editor focus
{
"key": "ctrl+`",
"command": "workbench.action.terminal.focus"
},
{
"key": "ctrl+`",
"command": "workbench.action.focusActiveEditorGroup",
@chrisalbon
chrisalbon / Machine Learning RSS Feeds
Last active January 16, 2024 02:04
<?xml version="1.0" encoding="UTF-8"?>
<opml version="1.0">
<head>
<title>RSS subscriptions for chris.albon@gmail.com</title>
<dateCreated>Sat, 27 Feb 2021 17:33:45 +0000</dateCreated>
<ownerEmail>chris.albon@gmail.com</ownerEmail>
</head>
<body>
<outline text="Google AI Blog" title="Google AI Blog" type="rss" xmlUrl="http://feeds.feedburner.com/blogspot/gJZg" htmlUrl="http://ai.googleblog.com/"/>
<outline text="FastML" title="FastML" type="rss" xmlUrl="http://fastml.com/atom.xml" htmlUrl="http://fastml.com/"/>
@chrisalbon
chrisalbon / main.py
Last active July 5, 2023 00:23
Three Legged Auth To Tweet Something
import tweepy
from dotenv import load_dotenv
import os
# Constants
load_dotenv()
#Secrets
CONSUMER_KEY = os.getenv("CONSUMER_KEY")
CONSUMER_SECRET = os.getenv("CONSUMER_SECRET")
@chrisalbon
chrisalbon / gist:d3fb732e97cfb2e06c65f7a84e2b4fe2
Last active May 29, 2023 20:11
Quick And Dirty GPU Speed Test
"""
This module imports necessary libraries from PyTorch, torchvision, and sets up the device configuration for CUDA if available.
It then sets hyperparameters for an application of a fully connected neural network on the MNIST dataset of handwritten digits.
The MNIST dataset is loaded, transformed into tensors, and split into a training and a test dataset.
The fully connected neural network architecture is defined with one hidden layer, after which the model is initiated.
CrossEntropyLoss is used as the loss function, and Adam optimizer is used for optimization.
Training is done for the specified number of epochs, where for each epoch, forward pass is performed, loss is calculated,
backpropagation is applied, and the model parameters are updated.
@chrisalbon
chrisalbon / subscriptions.xml
Last active November 22, 2022 07:33
<opml version="1.0">
<head>
<dateCreated>Mon, 21 Nov 2022 20:41:45 +0000</dateCreated>
</head>
<body>
<outline text="FastML" title="FastML" type="rss" xmlUrl="http://fastml.com/atom.xml" htmlUrl="http://fastml.com/"/>
<outline text="colah's blog" title="colah's blog" type="rss" xmlUrl="http://colah.github.io/rss" htmlUrl="http://colah.github.io/"/>
<outline text="Math ∩ Programming" title="Math ∩ Programming" type="rss" xmlUrl="https://jeremykun.com/feed/" htmlUrl="https://jeremykun.com"/>
<outline text="Pete Warden's blog" title="Pete Warden's blog" type="rss" xmlUrl="https://petewarden.com/feed/" htmlUrl="https://petewarden.com"/>
<outline text="Two Minute Papers" title="Two Minute Papers" type="rss" xmlUrl="https://www.youtube.com/feeds/videos.xml?channel_id=UCbfYPyITQ-7l4upoX8nvctg" htmlUrl="https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg"/>
@chrisalbon
chrisalbon / tweet_deleting_script.py
Last active February 25, 2022 08:01
# -*- coding: utf-8 -*-
""" Deletes all tweets below a certain retweet threshold.
"""
import tweepy
from datetime import datetime
# Constants
CONSUMER_KEY = ''
@chrisalbon
chrisalbon / gist:0a55b7b5ef6584e672cd
Created September 8, 2014 13:46
map your google data
# coding: utf-8
# # Map Your Google Location History
#
# ## Step 1: Download your Google Location History
#
# Google makes this process very easy. Go here to [download your location history data](https://www.google.com/settings/takeout) and unzip it.
# ## Step 2: Run this script
@chrisalbon
chrisalbon / gist:5de5c06d2c547637d90ceb82e0e5e68c
Created April 14, 2017 20:07
### Keybase proof
I hereby claim:
* I am chrisalbon on github.
* I am chrisalbon (https://keybase.io/chrisalbon) on keybase.
* I have a public key ASBI8zFqR11PMiDce5FTxa7M57P8WLTxMkdLD-tt72qjjAo
To claim this, I am signing this object:
@chrisalbon
chrisalbon / group by time of day in pandas
Created December 21, 2016 18:30
import pandas as pd
index = pd.date_range('1/1/2000', periods=20000, freq='30min')
series = pd.Series(range(20000), index=index)
series.groupby(series.index.hour).sum()
@chrisalbon
chrisalbon / gist:8642380
Created January 27, 2014 02:15
# Brute Force D20 Roll Simulator
# Import random module
import random
# Create a variable with a TRUE value
rolling = True
# while rolling is true
while rolling: