I hereby claim:
- I am noveoko on github.
- I am noveoko (https://keybase.io/noveoko) on keybase.
- I have a public key ASAw8u3nDT3kDb9y_s2ESv9k-foe8x8XFIIvIimHExvC4Ao
To claim this, I am signing this object:
name;score;class | |
lastweektonight;3.716099416000003;fake_guru | |
good mythical morning;6.592357681000005;fake_guru | |
nigahiga;7.343055977999998;fake_guru | |
vox;7.885772988000004;fake_guru | |
amc;2.811392013000001;fake_guru | |
marshmello;2.8509348280000006;fake_guru | |
nowthis world;2.8509348280000006;fake_guru | |
cracked;1.587306397;fake_guru | |
petersripol;4.907746801;fake_guru |
import moviepy | |
from moviepy.editor import VideoFileClip, concatenate_videoclips | |
import glob | |
files = glob.glob("*." + suffix) | |
files = [VideoFileClip(file) for file in files] | |
final_video = concatenate_videoclips(files) | |
final_video.write_videofile(outputPath.split(".")[0] + ".mp4") | |
if __name__ == "__main__": |
def generateParams(): | |
temp = random.choice([0.01*a for a in range(0,100)]) | |
max_tokens = random.choice(range(25,400)) | |
return {"temp":temp,"max_tokens":max_tokens} | |
with open('all_results.txt','w',encoding='utf-8') as outfile: | |
for i in range(0,100): | |
if i%10==0: | |
print(i) | |
name = random.choice(['Susan','Mike','Eric','Jin','June','April','Barry','Eliza','Tom']) |
def generateParams(): | |
temp = random.choice([0.01*a for a in range(0,100)]) | |
max_tokens = random.choice(range(25,400)) | |
return {"temp":temp,"max_tokens":max_tokens} | |
with open('all_results.txt','w',encoding='utf-8') as outfile: | |
for i in range(0,100): | |
if i%10==0: | |
print(i) | |
params = generateParams() |
Country,Worldometer Pop.,Prediction by GPT-3 (0.0 temp),Prediction part 2 | |
Afghanistan,"38,928,346",no answer, | |
Albania,"2,877,797","3,828,827",(July 2013 est.) | |
Algeria,"43,851,044",no answer, | |
Andorra,"77,265",no answer, | |
Angola,"32,866,272",no answer, | |
Antigua and Barbuda,"97,929",no answer, | |
Argentina,"45,195,774",no answer, | |
Armenia,"2,963,243","3,238,000",(2014). | |
Australia,"25,499,884",no answer, |
The forest had become a labyrinth of snow and ice. I'd been monitoring the parameters of the ticket for an hour now, and it was clear that we weren't going to get through the forest without a helicopter. I wasn't even sure if the pilot would be able to get a chopper to the area. | |
I was just about to go and check on the pilot when he came in through the back door. | |
"I'm not sure I can get a chopper in there," he said. | |
"I know," I replied. "I'm thinking we'll have to walk." | |
"I'll have to come back later with some of the crew. The forest is completely covered in ice and snow. It's a nightmare." |
I hereby claim:
To claim this, I am signing this object:
from sklearn.cluster import DBSCAN | |
import numpy as np | |
to_cluster = [a,b,c] | |
a = [0,1,1,1,1,1,1,11,1,1,1,1,0,1] | |
b = [0,1,1,1,1,1,0,11,1,1,0,1,0,0] | |
c = [0,1,1,1,1,1,1,11,1,1,111,1,0,2000] | |
clustering = DBSCAN(eps=3, min_samples=2).fit(to_cluster) |