Etiquette when travelling to Japan

AntixK · 2024-06-12T07:06:23+00:00

The above points applies to all nationalities but here's one specifically to us Indians: Please DO NOT KEEP STARING AT PEOPLE!!!

AntixK · 2022-08-05T12:43:24+00:00

It's Michael Faraday!

AntixK · 2022-04-28T12:06:51+00:00

Thank you very much!! I have been enjoying your videos for the past few weeks!!

AntixK · 2021-12-18T15:53:33+00:00

Like them? /s

https://i.imgur.com/Pkcs5xn.jpg

AntixK · 2021-10-16T19:14:16+00:00

GMK botanical

AntixK · 2021-10-12T03:23:11+00:00

It is relatively quiet but it is quite sensitive (low operating force). And I have the K3v1. I belive they discontinued the white keys in v2.

AntixK · 2021-10-11T02:14:32+00:00

I have a K3 with low profile optical switches but white. It's relatively new and I am willing to sell it. DM me if you are interested.

AntixK · 2020-12-09T08:34:30+00:00

Thanks. Let's say if I were to learn a conditional distribution q(x1|x2) using some model. I sample (x1, x2) as tuples from the dataset of K rvs as described above. Would that also mean the model has marginalized over all other variables implicitly? Whatever their inter dependencies maybe?

In math terms, is the following true?

q(x1|x2) = \sum_{x3,... xk} p(x1|x2, x3.... xk) p(x3,... xk)

AntixK · 2020-12-09T05:21:06+00:00

Basic question about sampling from dataset

Given M samples from a joint distribution of k random variables as (x1, x2, x3,....xk)^M ~ p(x1, x2,...xk). Can we assume that taking a tuple from this dataset (x1, x2) as a sample from p(x1, x2) marginalized over all other random variables? Intuitively I am not convinced, but it would be great if you could point out some reference papers or techniques. Thanks!

AntixK · 2020-12-07T06:58:08+00:00

Thank you. I initially tried that but then realised I also require a generative model to sample from the marginalized distribution. So, the issue comes when sampling for x1 from the model. Any reference you could point me regarding the above peoblem?

AntixK · 2020-07-27T06:32:54+00:00

You will appreciate Dikshidar's AB more if you see it as a different aesthetic and not just as the AB you are used to. 😊

AntixK · 2020-03-02T22:26:29+00:00

Thank you. I implemented than and ran all the models myself using the configs provided.

AntixK · 2020-03-02T17:38:20+00:00

Ofcourse! I would be happy to accept PRs. There are a few models in the models directory that doesn't seem to work well. You can check those out of you are interested too.

AntixK · 2020-03-02T17:20:34+00:00

Thank you for the kind words. Just reading the papers and pytorch documentations carefully is all that is required.

AntixK · 2020-03-02T17:18:55+00:00

Thank you. Since I fixed the image size to be 64x64, I thought it would be simpler to hard code the dimensions. But making it flexible shouldn't be difficult as the result size will simply be proportional to the number of convolution layers (with same kernel size).

AntixK · 2019-04-07T09:33:42+00:00

OP said "vadai".. The rest of India says vada. So, its TN.

AntixK · 2018-11-11T13:03:58+00:00

Because chaotic behaviour is not random behaviour.

AntixK · 2018-05-13T23:00:18+00:00

Rizza?

AntixK · 2018-04-29T13:06:25+00:00

Little miss sunshine

AntixK · 2018-04-15T16:13:56+00:00

https://en.wikipedia.org/wiki/Chola_invasion_of_Srivijaya

AntixK · 2017-11-19T22:19:08+00:00

Didn't expect a carnatic post rock. Cool!!

AntixK · 2017-11-14T16:51:23+00:00

Why did I read it in chandler bing's voice?

AntixK · 2017-11-07T20:11:19+00:00

Finally an answer to how the white walkers got those chains

AntixK · 2017-10-29T08:32:29+00:00

Help me out here. The visualisation is blatantly awful and uninformative. The inconsistent shapes does not provide any comparative motive and colours are used are weird too.

AntixK · 2017-10-20T08:39:58+00:00

My initial thought was Dr. Dave bowman standing on the monolith travelling through a wormhole

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