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{
"embeddings": [
{
"tensorName": "MidJourney prompts",
"tensorShape": [
9152,
384
],
"tensorPath": "https://gist.githubusercontent.com/vinayprabhu/7fe0fd8bada780437ff02ad7fc318219/raw/bb41a23f3f109db4ca9e0a83ebf38a16a7eba33e/f_9k.tsv",
"metadataPath": "https://gist.githubusercontent.com/vinayprabhu/d2e5aa42992dbc1d5d9e66db6ba97b59/raw/4d4230b761e4a25d6c4f6b73eb803160eadb26d5/y_viz.tsv"
We can make this file beautiful and searchable if this error is corrected: No tabs found in this TSV file in line 0.
a moray eel eating a pizza at a restaurant
Santa Claus on a rainbow narwhal
mr blobby being arrested by an american police officer, cctv footage
space mermaid in a bubble helmet
a city floating in the clouds at dawn in the style of studio ghibli
robot wizard
milk snakes rafflesia mandelbrot lauscaux cave
city floating down river in a barge
Pegasus born from a tree
a steampunk badger
We can't make this file beautiful and searchable because it's too large.
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@vinayprabhu
vinayprabhu / obama_mitch_apple.csv
Created January 2, 2022 17:43
Output of the infamous Obama-McConnell image passed through Apple's ABS cropping framework
We can make this file beautiful and searchable if this error is corrected: Unclosed quoted field in line 1.
https://pbs.twimg.com/media/EiT2SftUMAEjDRH?format=jpg&name=4096x4096,0.5364961,63.29628945887089,193.16107034683228,536.4871494919062,3000.0,"[0.051081724, 0.02944088, 0.025204398, 0.016370326, 0.023559086, 0.02707991, 0.036534727, 0.040771753, 0.049058456, 0.05437999, 0.062073443, 0.06285878, 0.061937977, 0.060316633, 0.05989317, 0.05497349, 0.053619094, 0.052172177, 0.05192511, 0.047040746, 0.046780538, 0.046639413, 0.048806235, 0.048897073, 0.052368216, 0.05784481, 0.06460861, 0.071031585, 0.075862, 0.082276456, 0.08760901, 0.09064289, 0.08947403, 0.09276799, 0.09530029, 0.09873402, 0.10092814, 0.102648355, 0.10020183, 0.09716202, 0.091936335, 0.08683641, 0.07897578, 0.0768055, 0.07691708, 0.075221285, 0.071089245, 0.06897043, 0.067148656, 0.066251904, 0.06576084, 0.067866445, 0.07235864, 0.07757508, 0.08147618, 0.08178738, 0.07924166, 0.07486498, 0.06824348, 0.05875298, 0.05369294, 0.04812321, 0.04430148, 0.031493425, 0.024819702, 0.02256073, 0.025059856, 0.034911864, 0.02471295, 0.0077243745, 0.00559393
@vinayprabhu
vinayprabhu / scholarly_veggies.bib
Created February 21, 2021 19:23
Google scholar parser gone wild
@article{cress2017land,
title={FROM THE LAND},
author={Cress, Coriander and Dressing, Sesame and Parcel, Crispy Prawn and Rolls, Vegetable Spring and Tatin, Tomato Tarte and Raspberry, Lemon and Tartlet, Mascarpone and Br{\^u}l{\'e}e, Mini Cr{\`e}me and Mousse, Mini Chocolate and Pie, Mini Lemon Meringue and others},
year={2017}
}
@article{bolognaise1allergen,
title={ALLERGEN KEY},
author={Bolognaise, Spaghetti and Casserole, Winter Vegetable and Pasta, Fresh Pesto and Pasta, Chunky Tomato and Fishcake, Salmon and Beans, Baked and Carrots, Fresh and Beans, Green and Potatoes, Roast and Broccoli, Fresh and others},
journal={Sage},
@article{krys2016careful,
title={Be careful where you smile: Culture shapes judgments of intelligence and honesty of smiling individuals},
author={Krys, Kuba and Vauclair, C-Melanie and Capaldi, Colin A and Lun, Vivian Miu-Chi and Bond, Michael Harris and Dom{\'\i}nguez-Espinosa, Alejandra and Torres, Claudio and Lipp, Ottmar V and Manickam, L Sam S and Xing, Cai and others},
journal={Journal of nonverbal behavior},
volume={40},
number={2},
pages={101--116},
year={2016},
publisher={Springer}
}
@misc{ICLRPape9:online,
author = {Hendrik Strobelt, Alexander Rush},
title = {ICLR: Paper Explorer},
howpublished = {\url{https://iclr.cc/virtual_2020/paper_vis.html}},
month = {Apr},
year = {2020},
note = {(Accessed on 05/14/2020)}
}
@misc{ICLRiclr55:online,
@vinayprabhu
vinayprabhu / ai_legends.py
Created July 30, 2019 04:53
'Legends' image generator
import os
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.transforms import TransformedBbox, Bbox
from matplotlib.image import BboxImage
from matplotlib.legend_handler import HandlerBase
from matplotlib._png import read_png
from matplotlib.cbook import get_sample_data
class ImageHandler(HandlerBase):
[
{
"FIELD1":"name",
"FIELD2":"size",
"FIELD3":"imports"
},
{
"FIELD1":"Title.But do you love it?",
"FIELD2":"0",
"FIELD3":"Author.Roman Verraest,Categorie.Business Consulting,Tag.AE Foyer,Date.2014-12,Tag.Business Architecture,Tag.Customer Journey,Categorie.Enterprise Architecture"