Igor Brigadir igorbrigadir
igorbrigadir
/ 2022-11-06_verified_ids.txt
Last active
May 4, 2023 16:44
All 423,502 @verified follows from 2022-11-06, which is all the twitter user IDs that were verified before Twitter's new Blue Verification.
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| 1040206865387409408 | |
| 1378815453510914056 | |
| 1124983612389171200 | |
| 1250006106736398336 | |
| 1151791608494473219 | |
| 832501002200838144 | |
| 752487114621718528 | |
| 968788335207632896 | |
| 968063439624052736 | |
| 158686789 |
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| <html> | |
| <body> | |
| <a href="https://www.netflix.com/browse/genre/12739">20th Century Period Pieces</a><br/> | |
| <a href="https://www.netflix.com/browse/genre/77213">Absurd Comedies</a><br/> | |
| <a href="https://www.netflix.com/browse/genre/51063">Academy Award-Winning Films</a><br/> | |
| <a href="https://www.netflix.com/browse/genre/1365">Acción y aventuras</a><br/> | |
| <a href="https://www.netflix.com/browse/genre/2125">Acción y aventuras militares</a><br/> | |
| <a href="https://www.netflix.com/browse/genre/801362">Action</a><br/> | |
| <a href="https://www.netflix.com/browse/genre/10673">Action & Adventure Programmes</a><br/> | |
| <a href="https://www.netflix.com/browse/genre/2653">Action Anime</a><br/> |
igorbrigadir
/ andrewwk.mp4
Last active
September 2, 2022 21:37
Failed to upload SRT File on Twitter
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igorbrigadir
/ 0_speech_ua_original.txt
Created
August 26, 2022 15:36
Ukrainian Independence Speech Translation
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| Вільний народе незалежної України! | |
| І цим усе сказано. | |
| Всього чотири слова, але як багато стоїть за ними сьогодні. | |
| На 182-й день повномасштабної війни. | |
| Скільки в цих словах символів і сенсів, подвигів і втрат, радості й болю. | |
| А головне – скільки в них правди. | |
| Нашої правди. | |
| Правди про наше сьогодення, з якою неможливо сперечатися, бо неможливо не бачити й не визнавати. | |
| Ми вільний народ незалежної України. | |
| Після шести місяців, коли нас намагаються знищити, ми вільний народ незалежної України. |
igorbrigadir
/ 01_setup.sh
Last active
April 17, 2022 00:55
Daily tweet counts for news accounts example
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| pip install --upgrade twarc twarc-csv | |
| twarc2 configure |
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| slave | |
| pupal | |
| agora | |
| lynch | |
| fibre | |
| wench |
igorbrigadir
/ private_metrics.py
Created
February 8, 2022 13:02
Simplified example of using oAuth1.0a
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| from requests_oauthlib import OAuth1Session | |
| import os | |
| import json | |
| # In your terminal please set your environment variables by running the following lines of code. | |
| # export 'CONSUMER_KEY'='<your_consumer_key>' | |
| # export 'CONSUMER_SECRET'='<your_consumer_secret>' | |
| # export 'ACCESS_TOKEN'='<your_access_token>' | |
| # export 'ACCESS_TOKEN_SECRET'='<your_access_token_secret>' |
igorbrigadir
/ bitcoin.csv
Created
November 18, 2021 15:15
Daily "bitcoin" counts output from `twarc2 counts --archive --start-time "2021-01-01" --end-time "2021-08-31" --granularity day "bitcoin" --csv bitcoin_counts.csv`
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| start | end | day_count | |
|---|---|---|---|
| 2021-07-31T00:00:00.000Z | 2021-08-01T00:00:00.000Z | 226389 | |
| 2021-08-01T00:00:00.000Z | 2021-08-02T00:00:00.000Z | 222078 | |
| 2021-08-02T00:00:00.000Z | 2021-08-03T00:00:00.000Z | 246498 | |
| 2021-08-03T00:00:00.000Z | 2021-08-04T00:00:00.000Z | 244656 | |
| 2021-08-04T00:00:00.000Z | 2021-08-05T00:00:00.000Z | 229473 | |
| 2021-08-05T00:00:00.000Z | 2021-08-06T00:00:00.000Z | 245932 | |
| 2021-08-06T00:00:00.000Z | 2021-08-07T00:00:00.000Z | 222452 | |
| 2021-08-07T00:00:00.000Z | 2021-08-08T00:00:00.000Z | 204968 | |
| 2021-08-08T00:00:00.000Z | 2021-08-09T00:00:00.000Z | 208344 |
igorbrigadir
/ minimum_tweet.json
Created
September 30, 2021 13:42
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| { | |
| "data": [ | |
| { | |
| "text": "@kevharrison_ And here is our big dog Brody and two of the cats. They say happy birthday too! https://t.co/3Ce3m1b2NC", | |
| "author_id": "930114936826712064", | |
| "id": "1443571132708253710", | |
| "conversation_id": "1443062146510860289", | |
| "referenced_tweets": [ | |
| { | |
| "type": "replied_to", |
igorbrigadir
/ 0_prompt.txt
Created
August 27, 2021 14:01
GPT3 Engine davinci Response length 64 Temperature 0.7 Top P 1 Frequency penalty 0 Presence penalty 0
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| How I failed machine learning in medical imaging - shortcomings and recommendations | |
| By Gaël Varoquaux, Veronika Cheplygina | |
| Abstract: | |
| Medical imaging is an important research field with many opportunities for improving patients' health. However, there are a number of challenges that are slowing down the progress of the field as a whole, such optimizing for publication. In this paper we reviewed several problems related to choosing datasets, methods, evaluation metrics, and publication strategies. With a review of literature and our own analysis, we show that at every step, potential biases can creep in. On a positive note, we also see that initiatives to counteract these problems are already being started. Finally we provide a broad range of recommendations on how to further these address problems in the future. For reproducibility, data and code for our analyses are available on https://github.com/GaelVaroquaux/ml_med_imaging_failures | |
| Introduction: |