Telegram RegisterThe public register of Telegram
Telegram profile photo for Data Kitchen

Channel

Data Kitchen

@datakitchen

On this record: Growth · Engagement · What this channel posts · Posts · Polls · Citations · Cite this entry

242subscribers

+2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001360832525
TypeChannel
Username@datakitchen
Created31 July 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/datakitchen

Growth

2402422417 August 2026 — 240 subscribers8 August 2026 — 240 subscribers16 August 2026 — 242 subscribers7 August 202616 August 2026
3 measurements spanning 8 days, net +2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 240–242 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 06:28242+2
8 Aug 2026, 09:48240no change
7 Aug 2026, 19:49240first reading

Engagement

18 posts held, back to 2 August 2020the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 20 January 2022. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
3m 51s
Average length
58s

Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Recent posts

20 Jan 2022, 15:08 UTC969 viewsread 8 August 2026

There are still ~100 free GPUs left! Join the community sprint to contribute ASR models for your favorite languages and win some Hugging Face goodies! 🤗 https://discuss.huggingface.co/t/open-to-the-community-robust-speech-recognition-challenge/13614

9 Jun 2021, 20:16 UTC≈1,510 viewsread 8 August 2026
Photo

Затащил Wav2Vec2 в режиме VQ pretraining в трансформеры. А ребята из HF 🤗 добавили скрипты для DeepSpeed-ZeRO2, так что если у вас есть хотя бы 1 GPU и свободная неделя, попробуйте: https://github.com/huggingface/transformers/tree/master/examples/research_projects/wav2vec2#pretraining-wav2vec2

29 Mar 2021, 13:13 UTC≈1,370 viewsread 8 August 2026

Ух, выбрался из спячки, чтобы поучаствовать в XLSR-Wav2Vec2 Fine-Tuning Week for Low-Resource Languages 🤗HuggingFace предложили взять предобученный Wav2Vec 2.0 и с его помощью выжать максимум из Speech-to-Text датасета Common Voice, дообучив модели для каждого языка. К концу недели успел выложить модели для 13 малоресурсных языков, их все можно скачать или потестить прямо в браузере здесь: https://huggingface.co/ant

23 Sept 2020, 11:13 UTC≈1,150 viewsread 8 August 2026
Video

Люблю залипать на сходящиеся проекции. Source: https://twitter.com/hippopedoid/status/1308719981463515139

22 Sept 2020, 22:09 UTC≈1,010 viewsread 8 August 2026

Что ж, скоро OpenAI's GPT-3 станет эксклюзивом для Azure маркетплейса. Пока не ясно, в каком виде, но проклятый вендорлок и сюда добрался. #ClosedAI https://blogs.microsoft.com/blog/2020/09/22/microsoft-teams-up-with-openai-to-exclusively-license-gpt-3-language-model/

26 Aug 2020, 07:55 UTC≈3,200 viewsread 8 August 2026

Оказалось, что бОльшая часть Википедии на шотландском языке (тот, который Scots, а не гэльский) была написана одним человеком. Не знающий языка американец дословно "перевел" десятки тысяч статей английской википедии по словарю или изобретая слова на ходу. > Blaise Pascal (19 Juin 1623 – 19 August 1662) wis a French mathematician, pheesicist, inventor, writer an Christian filosofer. He wis a child prodigy that wis ed

11 Aug 2020, 21:51 UTC749 viewsread 8 August 2026
Video

Если кто ещё не видел, в мастере 🤗 Transformers появился пайплайн для zero-shot классификации. Поиграться можно в колабе: https://colab.research.google.com/drive/1jocViLorbwWIkTXKwxCOV9HLTaDDgCaw?usp=sharing Пост про zero shot и реализованный метод: https://joeddav.github.io/blog/2020/05/29/ZSL.html

11 Aug 2020, 21:13 UTC707 viewsread 8 August 2026
Video

Free View Synthesis Gernot Riegler and Vladlen Koltun http://vladlen.info/publications/free-view-synthesis/ Неделя neural rendering продолжается, спасибо грядущей ECCV. На этот раз для синтеза новых ракурсов не требуется дополнительного файнтюнинга под сцену (в отличие от NeRF). Благодаря рекуррентной архитектуре декодера, можно использовать произвольное количество неотсортированных фотографий. Но в качестве прокси

10 Aug 2020, 18:07 UTC622 viewsread 8 August 2026

Deep Learning for Computer Vision [Fall 2019] 🎓 Justin Johnson Эволюция стенфордского курса cs231n (Karpathy, Johnson), теперь в University of Michigan и на YouTube! Основные отличия: * Обновленные материалы * Новые темы: Transformers, Video, 3D * Домашние задания на PyTorch + Colab Записи лекций: https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r Страница курса: https://web.eecs.umich.edu/~ju

6 Aug 2020, 11:15 UTC522 viewsread 8 August 2026
Forwarded from @pathetic_low_freqVideo

Генеративные элементы декорации интерьера, отрендеренные в Houdini. Автор Richard Lord. Также, сегодня я узнал о пасхальном яйце в питоне (import antigravity).

6 Aug 2020, 09:53 UTC≈1,240 viewsread 8 August 2026
Video

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections Ricardo Martin-Brualla et al. https://arxiv.org/abs/2008.02268 Пробовал на карантине оригинальный NeRF, хотел сделать такие же уличные туры. Но понял, что публичные фотографии совсем не подходят для рендеринга: слишком много шума из-за различий в геометрии сцен и освещении. В новом подходе эти артефакты по большей части сглаживаются, выгляд

Showing the 12 most recent of 18 posts we hold for @datakitchen. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

5 Aug 2020, 14:43 UTCAnonymous Poll162 voters

Нужно написать оптимальный пайплайн для параллельного процессинга терабайтов файлов, поэтому я:

  1. Зная Python, напишу на нем27%
  2. Зная Go, напишу на нем8%
  3. Зная Python, хочу попробовать на Go14%
  4. Ты чего, тут никуда без Java/Scala4%
  5. Фигачу на C++/Rust/etc и прекрасно себя чувствую13%
  6. Посмотреть результаты33%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 18 most recent posts we hold, published 2 August 2020 to 20 January 2022. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Data Kitchen” (@datakitchen), 242 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/datakitchen.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.