Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
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# Setup: | |
# conda create -n whisper python=3.9 | |
# conda activate whisper | |
# https://github.com/openai/whisper | |
# pip install git+https://github.com/openai/whisper.git | |
# Usage: | |
# python whisper-audio-to-text.py --audio_dir my_files --out_dir texts | |
import argparse |
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<body onload=z=c.getContext`2d`,setInterval(`c.width=W=150,Y<W&&P<Y&Y<P+E|9<p?z.fillText(S++${Y=`,9,9|z.fillRect(p`}*0,Y-=--M${Y+Y},P+E,9,W),P))):p=M=Y=S=6,p=p-6||(P=S%E,W)`,E=49) onclick=M=9><canvas id=c> |
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# -*- coding: utf-8 -*- | |
""" Deletes all tweets below a certain retweet threshold. | |
""" | |
import tweepy | |
from datetime import datetime | |
# Constants | |
CONSUMER_KEY = '' |
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library(flametree) # github.com/djnavarro/flametree | |
library(voronoise) # github.com/djnavarro/voronoise | |
library(dplyr) | |
# set seed | |
seed <- 1 | |
set.seed(seed) | |
# the "flametree" itself | |
ftree <- flametree_grow( |
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library(flametree) | |
library(voronoise) | |
library(ambient) | |
library(scico) | |
library(dplyr) | |
theme_mono <- voronoise:::theme_mono | |
ft <- flametree_grow( | |
seed = 333, |
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from tkinter import * | |
from PIL import ImageTk,Image | |
import time | |
import os | |
targetImageWidth = 850 | |
targetImageHeight = 400 | |
inputImageWidth = 0 | |
inputImageHeight = 0 |
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Mute these words in your settings here: https://twitter.com/settings/muted_keywords | |
ActivityTweet | |
generic_activity_highlights | |
generic_activity_momentsbreaking | |
RankedOrganicTweet | |
suggest_activity | |
suggest_activity_feed | |
suggest_activity_highlights | |
suggest_activity_tweet |
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