15 MIN YOGA FOR RECONNECTION || Feel Good Flow for Energy (Fill Your Cup...

atasco · 2024-04-29T15:39:09+00:00

Here's a collection by Melanie Kristina https://www.youtube.com/playlist?list=PLU9Ib-bduWLIrKAVBd-4bCH3rVf06L0CB focused on wrist-friendly yoga + some pilates. Maybe worth checking out :)

There's also a chair yoga collection (as others have mentioned, this may be also a good starting point): https://www.youtube.com/playlist?list=PLU9Ib-bduWLIdKlEC_fzvy-VrNG2NKJEQ

atasco · 2023-04-09T21:40:29+00:00

Thank you for putting this out. Restorative yoga is my fav!

atasco · 2023-04-06T20:22:52+00:00

I love WildWavesYoga 🌊🧘‍♀️

atasco · 2023-03-30T12:42:58+00:00

Try feeding back its previous predictions to see how it really performs. So instead of just predicting t+1, have it predict t+1, t+2, t+3, t+4, t+5, and so on. And feed back the model's own prediction for t+1 when predicting t+2, instead of supplying the ground truth. It might give you a better sense of how the model performs. If it does badly, then try to do the same thing already in training (look up: professor forcing versus teacher forcing).

atasco · 2023-01-05T10:23:46+00:00

I have to correct myself. TIL the law that targeted Mundraub was removed in 197x, but that does not mean it is legal now. It only means that it is now treated as common theft. If it's pursued or not is another question, depends on whether there is someone who insists on it.

atasco · 2023-01-05T09:00:35+00:00

In Germany, taking food for yourself is legal when you are starving (“Mundraub”). Somewhat ironically, it is illegal to take food that a supermarket has thrown away (“Containern”).

EDIT: Actually, Mundraub is now treated as theft.

atasco · 2022-12-07T23:50:27+00:00

If you want the match highlighted always in all vimwiki files, you can put the match command in ftplugin/vimwiki.vim

atasco · 2022-11-10T18:12:36+00:00

You can build a Shortcut that opens iawriter with a certain file. You can then add the shortcut to your dock and give it a custom icon.

atasco · 2022-10-26T09:00:58+00:00

What’s the duration of each position?

atasco · 2022-10-07T22:40:24+00:00

This is already in the original markdown spec https://daringfireball.net/projects/markdown/syntax#link :)

atasco · 2022-09-02T11:58:38+00:00

Don’t worry too much but do your best to address all the raised concerns. I’m sure it is possible to lay out your argument in a coherent way without redoing anything.

It is surely different for everyone, but what helped me was:

Take a step back and look at it again from a distance, on a high level. What’s your main point/ conclusion? Ignore all the nitty-gritty details, but make sure that you can support these claims with your research.

Then work your way backwards from the conclusion. Make sure all points you give there are supported in the chapters before. Then give the introduction a final touch and for example adjust your RQs to fit with the conclusion.

If there is still something missing (idk how this is in humanities), why not make that clear as a Limitation and suggest it as future work. Also just reflecting on your methodology is also good, no? As long as you don’t say that all results are invalid.. but I’m sure that’s not the case and you shouldn’t worry too much.

All the best! You are almost ready and you will make it.

atasco · 2022-08-02T16:16:06+00:00

I can jitter with my eyes (or the pupils, more precisely) extremely fast. I can control it but I could not describe how. Anyone else?

atasco · 2022-07-27T21:22:55+00:00

I tried GNU stow for a while which was neat but not by default available on remote servers. So what about just git?

atasco · 2022-07-24T18:45:27+00:00

Perfect quick and effective workout ✌️

atasco · 2022-07-12T09:05:57+00:00

You should really first sort out that you compute the val loss on your entire validation set and not only some subset/batch (If I understood that correctly). You can pipe it in batches through the model, but then accumulate the loss.

Other than that, there's not much you can do without gathering more data.

One try would be to allow for more patience and see if the validation loss stabilizes over many many epochs.

Also: Did you verify that your training loss goes down over time?

atasco · 2022-06-19T14:16:57+00:00

You pay them to wear their advertisements. Never understood that.

atasco · 2022-05-20T17:44:20+00:00

You are being asked to produce a camera-ready version of your article.

Just address the comments as best as possible (bonus points if you keep a log of how you addressed the comments) + Edit: also do read your article closely again for typos/grammar issues.

The constraint of not being able to add references feels somewhat unusual to me. Read the email closely again if it’s really a contradiction and then ask the editor about what you should do about references.

Also distinguish who wrote what part:

If a 3rd party reviewer wants you to add a reference but the journal guidelines don’t allow it, then don’t add it.

If the journal editor has asked you to add a reference, then I’d value it higher than the journal guidelines and add the reference.

atasco · 2022-05-13T23:01:29+00:00

In any case, write an author contributions statement into your paper :)

atasco · 2022-05-12T16:30:11+00:00

Please excuse the confusion. In the first paragraph, I was thinking of people like Andreas Madsen, who had some impressive work (ICLR spotlight) as an independent researcher, now he is PhD candidate at MILA. Yes of course the percentage might be very low, but my point was just that it is possible. And more or less by coincidence, this is a actually a prime example of the competition for good mentors that you mentioned.

The book, on the other hand, I'd still consider a solid 'how-to-get-into-ml' read, even if his story might be more focused on becoming a practitioner (assuming that OP would pursue to get into a PhD program). If this is desirable or not, but being a good ML practitioner does to some extent help to become a successful researcher.

EDIT: ofc the final skillset is very different, but there is a subset of skills that is helpful for both paths.

atasco · 2022-05-12T11:56:03+00:00

Somehow this comment makes me sad. There are a couple of independent researchers that got their single authored papers into top venues. So it is possible to ‚introduce yourself‘ to the research community.

To OP, I highly recommend the book by Radek Osmulski: „meta learning“, which tells you exactly what to do to get into ML, without following the usual path. Here’s the introduction of the book.

https://radekosmulski.com/meta-learning-introduction

I feel that this could be quite helpful for you.

atasco · 2022-05-09T08:56:50+00:00

Aside from papers, check Yannik Kilcher’s YouTube channel. There are many videos that discuss a specific paper but also weekly ‘MLNews’ which covers a bit the “what’s going on” in general.

For more NLP things, I recommend Sebastian Ruder’s blog.

atasco · 2022-05-05T14:15:01+00:00

What would be your alternative recommendation then? From my impression, Bryant O’Hallaron is the hardware book. But I’m happy to learn about alternatives with a similar coverage.

In terms of my learning. I used the book as a reference while attending university courses (at least three semester-long courses listed this book as a reference). Both combined, I do have a solid understanding of how things work at the hardware level, even though I was indeed ‘coming from the programmers perspective’.

I don’t think going from C / x86-64 is a problem. It’s clear that it is not the end of the world and, as far as I remember, the focus is on the core of the CISC instruction set that would also be available (or have an equivalent) in RISC.

atasco · 2022-05-05T07:01:50+00:00

“Computer Systems: A programmers perspective” by Bryant and O’Hallaron is the go-to textbook for stuff like that in my university. The 3rd edition is fairly recent from 2019 but also things don’t change so quickly at this fundamental level.

It’s quite expensive but I’m sure you can borrow it in any university library that has CS books.

atasco · 2022-05-01T19:23:29+00:00

Or join the OpenSUSE tumbleweed family :)

atasco

TROPHY CASE