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Aight. I'll be gone for a few days. :ablobcatheartbroken:
My internet connection just drop so freaking badly :ablobcatgrumpy:
I literally can't pass 30kbps cap after using 27 GB-ish of data on their 7 dollars "unlimited" data plan.
(i know i know. It's cheap, i shouldn't have to criticize them for that. :ablobrollingeyes: )
I really hate my isp :ablobrollingeyes:
I guess i'll see you guys in the christmas :ablobsmile:
Until then! I wish you all a really really great days, like for real, a really really really really great one. :ablobcatheart:

After reading a lot of docs. (Can't cite a reference. Sorry. I accidentally deleted my browser app data that contain a few site that has a lot of related information)
The answer to this question is "you can"
As long you got the kernel and device blob source code for the phone you're using.
But this would be a tedious task :ablobblewobble:

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@funny

I'm really on the fence as to whether I should feel bad about the sucker who bought this...

ravenclaw boosted

Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization. (arXiv:2012.04171v1 [cs.LG]) arxiv.org/abs/2012.04171

Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization

Dimensionality reduction methods for count data are critical to a wide range of applications in medical informatics and other fields where model interpretability is paramount. For such data, hierarchical Poisson matrix factorization (HPF) and other sparse probabilistic non-negative matrix factorization (NMF) methods are considered to be interpretable generative models. They consist of sparse transformations for decoding their learned representations into predictions. However, sparsity in representation decoding does not necessarily imply sparsity in the encoding of representations from the original data features. HPF is often incorrectly interpreted in the literature as if it possesses encoder sparsity. The distinction between decoder sparsity and encoder sparsity is subtle but important. Due to the lack of encoder sparsity, HPF does not possess the column-clustering property of classical NMF -- the factor loading matrix does not sufficiently define how each factor is formed from the original features. We address this deficiency by self-consistently enforcing encoder sparsity, using a generalized additive model (GAM), thereby allowing one to relate each representation coordinate to a subset of the original data features. In doing so, the method also gains the ability to perform feature selection. We demonstrate our method on simulated data and give an example of how encoder sparsity is of practical use in a concrete application of representing inpatient comorbidities in Medicare patients.

arxiv.org
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ravenclaw boosted

ATOM3D: Tasks On Molecules in Three Dimensions. (arXiv:2012.04035v1 [cs.LG]) arxiv.org/abs/2012.04035

ATOM3D: Tasks On Molecules in Three Dimensions

Computational methods that operate on three-dimensional molecular structure have the potential to solve important questions in biology and chemistry. In particular, deep neural networks have gained significant attention, but their widespread adoption in the biomolecular domain has been limited by a lack of either systematic performance benchmarks or a unified toolkit for interacting with molecular data. To address this, we present ATOM3D, a collection of both novel and existing benchmark datasets spanning several key classes of biomolecules. We implement several classes of three-dimensional molecular learning methods for each of these tasks and show that they consistently improve performance relative to methods based on one- and two-dimensional representations. The specific choice of architecture proves to be critical for performance, with three-dimensional convolutional networks excelling at tasks involving complex geometries, graph networks performing well on systems requiring detailed positional information, and the more recently developed equivariant networks showing significant promise. Our results indicate that many molecular problems stand to gain from three-dimensional molecular learning, and that there is potential for improvement on many tasks which remain underexplored. To lower the barrier to entry and facilitate further developments in the field, we also provide a comprehensive suite of tools for dataset processing, model training, and evaluation in our open-source atom3d Python package. All datasets are available for download from https://www.atom3d.ai .

arxiv.org
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RT from Blender Artists (@BlenderArtists)

'A medieval mountain town' by 3dgraphicmano buff.ly/39PJpue #b3d

Original tweet : twitter.com/BlenderArtists/sta

ravenclaw boosted

newsbots.eu/@BBCNews/105342775
I'm never been a fan of "save internet for childs" nor "make internet family friendly".
I personally think that children are shouldn't be allowed to access internet. Why ?
- Because they're dumb (lacks the necessary experience that's why we also decided to not giving them permission to have sex.)
- They easily get manipulated (either by stranger or a corp. Just look up how much kids using their parents credit card without their parents knowing just to buy an in-game item which they think it will make them looks cool etc.)

By making internet accessible for them (without giving a somekind of restriction like firewall, etc).
You risk your childs being exposed to unnecessary information that would affect their mental growth.
Let's make internet better for everyone by start banning childs from using the internet. :ablobbounce:

As much as i enjoy being a sarcastic individual, i never felt like i should keep doing it. So i just stop.
i personally think that people have different in their level of knowledge and what they've been trough in their life.
So people always find something to get offended of and trying to prove a point by using satire or sarcasm isn't going to help anybody nor myself.
Idk. Maybe i'm just lacks the social prowess to be able to understand people better.
Who knows ?
:ablobbounce:

ravenclaw boosted

Stochastic processes and host-parasite coevolution: linking coevolutionary dynamics and DNA polymorphism data. (arXiv:2012.02831v1 [q-bio.PE]) arxiv.org/abs/2012.02831

Stochastic processes and host-parasite coevolution: linking coevolutionary dynamics and DNA polymorphism data

Between-species coevolution, and in particular antagonistic host-parasite coevolution, is a major process shaping within-species diversity. In this paper we investigate the role of various stochastic processes affecting the outcome of the deterministic coevolutionary models. Specifically, we assess 1) the impact of genetic drift and mutation on the maintenance of polymorphism at the interacting loci, and 2) the change in neutral allele frequencies across the genome of both coevolving species due to co-demographic population size changes. We find that genetic drift decreases the likelihood to observe classic balancing selection signatures, and that for most realistic values of the coevolutionary parameters, balancing selection signatures cannot be seen at the host loci. Further, we reveal that contrary to classic expectations, fast changes in parasite population size due to eco-evo feedbacks can be tracked by the allelic site-frequency spectrum measured at several time points. Changes in host population size are, however, less pronounced and thus not observable. Finally, we also review several understudied stochastic processes occurring in host-parasite coevolution which are of importance to predict maintenance of polymorphism at the underlying loci and the genome-wide nucleotide diversity of host and parasite populations.

arxiv.org

Just hang in there django. Let me finish learning css and html first. Then I'll be back to you soon :ablobcatangel:

ravenclaw boosted

When a Software Architect says "I do the architecture, and you do the easy part, just implement the functions!"....

ravenclaw boosted

December is here and that means so is CS Ed Week! We, the friendly coders at Replit, hope to celebrate student creativity with brand new projects created for CS Ed Week:

Build your own Python-powered mixtape website (using Replit Database + Spotify API)
Step-by-step Mixtape tutorial for students
Join us on Thursday December 10th for live feedback on projects worldwide
Join the conversation with teachers, students, and the Replit team on our CS Ed Week slack channel ()
Share your projects on Twitter: @replit @spotify
Participate in Advent of Code with our helpful starter templates
Or try one of these projects on your own:
Create a game with PyGame
Create a Pinterest-style simple Pinboard
Create a media player with Replit Audio
More projects on Code with Replit

repl.it/

ravenclaw boosted
Websites are like "in order to deliver the best experience blah blah blah blah"

I don't want you to deliver an experience, I want you to deliver some HTML
ravenclaw boosted

Dear video game industry!

Nobody likes games with a 120-hour story mode, that's filled with 80 hours of the same, seemingly endlessly repeating side quests.

Nobody wants to pay for your crappy add-ons and digital loot.

Nobody is excited about the remaster of a five year old game.

Nobody cares for the 21st face-lift of FIFA.

Nobody...

ravenclaw boosted

For the festive conspiracy theorist in your life, who wants to decorate for Christmas, but also wants you to know that Santa Claus is a lizard person.

Let me remind you that this is exist.
[Holy Night - Home Alone OST](invidious.snopyta.org/watch?v=)
You're welcome :ablobcatwink:

O Holy Nightinvidious.snopyta.org
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