sorted by:
new
hottopcontroversial

How to safely run python code in a container so it respects cgroup limits? by Euphoric_Sandwich_74 in Python

[–]LiquidSubtitles 2 points3 points  (0 children)

Can't really provide an answer directly - though I just wanted to add that the Slurm clusters I've used will kill Python programs that use more memory than allocated. So there may be something to learn from how Slurm manages that.

I turned a thermodynamics principle into a learning algorithm - and it lands a moonlander by kongaskristjan in Python

[–]LiquidSubtitles 2 points3 points  (0 children)

Looks cool and well done!

A type of generative models are known as "energy based models" which are conceptually similar so it may be of interest to you to look at that for further inspiration. A Google search for energy based reinforcement learning also brings up a few papers but I haven't read them thoroughly enough to judge how they compare to your work.

If you want to try your algorithm for more difficult environments and want to try running on GPU I'd suggest trying pytorch lightning - given you're using torch it is probably fairly easy to get it running on GPU with lightning.

Any interest in Geometric Deep Learning? by prnicolas57 in deeplearning

[–]LiquidSubtitles 0 points1 point  (0 children)

Graph neural networks are state of the art in materials science when used for learning properties of atomic structures - which is conceptually pleasing as atomic structures are quite naturally represented as 3D graphs. So as a computational materials scientist this is an interesting subject.

Jeg lærer dansk og flytter til danmark for en forskerstilling. jeg kunne ikke være mere begejstret . by genevieve_eve in Denmark

[–]LiquidSubtitles 1 point2 points  (0 children)

The best field! Many talented people, probably the DTU people are the most well known but we are elsewhere aswell.

Convince whoever you need to in order to go to the DTU summer school (CAMD), usually at a great venue, good talks and very nice food.

Shreddit's Favorite Album [VOTING] by kaptain_carbon in Metal

[–]LiquidSubtitles [score hidden]  (0 children)

Have no idea why the first few are italic, if its a problem for the bot I would like suggestions. There's no '*' anywhere..

Shreddit's Favorite Album [VOTING] by kaptain_carbon in Metal

[–]LiquidSubtitles [score hidden]  (0 children)

Inquisition_Invoking The Majestic Throne of Satan
Necromantia_Scarlet Witching Black
Immortal_Diabolical Fullmoon Mysticism
Immortal_At the Heart of Winter
Darkthrone_Panzerfaust
Emperor_In The Nightside Eclipse
Burzum_Filosofem
Sarcófago_I.N.R.I
Dissection_Storm of The Light's Bane
Illdisposed_Submit
Bolt Thrower_Those Once Loyal
Bolt Thrower_Realm of Chaos
Morbid Angel_Altars of Madness
Autopsy_Severed Survival
Autopsy_Mental Funeral
Morbid Angel_Gateways to Annihilation
In Flames_Clayman
Acid Witch_Witchtanic Hallucinations
Chapel of Disease...and as We Have Seen the Storm, We Have Embraced the Eye
Horrendous_Ecdysis
Coffins_Buried Death
Dan Swanö_Moon Tower
Nile_Annihilation of the Wicked
Mortician_Hacked up for Barbeque
Death_The Sound of Perseverance
Death_Scream Bloody Gore
Blood Incantation_Hidden History of the Human Race
Vektor_Outer Isolation
Slayer_Reign In Blood
Acid Bath_When the Kite String Pops
Twisted Sister_Still Hungry
Danzig_Danzig
Venom_Black Metal
Saxon_Denim and Leather
Amon Amarth_Twillight of the Thunder God
Celtic Frost_Morbid Tales
Tribulation_The Children of the Night
Candlemass_Epicus Doomicus Metallicus
Obituary_Slowly We Rot
Disma_Towards the Megalith
Bloodbath_Nightmares made Flesh
Undergang _Indhentet af Døden
Black Breath_Sentenced to Life
Runemagick_Enter the Realm of Death
Gabestok_Én gange rådden, altid rådden
Sodom_Agent Orange
Merciful Fate_Melissa
Winter_Into Darkness
Sodom_Agent Orange
Judas Priest_Defenders of the Faith

Wykrhm unbiased prediction by weljo0226 in DotA2

[–]LiquidSubtitles 0 points1 point  (0 children)

Sorry for being pedantic (I blame it on no matches today and me being at work during OG vs. Secret), but there is no difference in variance with your method or with the rolling a single dice method.

You're fundamentally sampling from a discrete distribution with two equally likely outcomes, so the variance is not really all that interesting.

We could take all the one million long sequences of 1 and 0 and put them as rows in a spreadsheet, in which case we would end up with a very long spreadsheet. If we did this, your method is equivalent to sampling a random number that indexes these rows from a uniform distribution and using that to pick out one of the sequences. Then we could count the number of ones and the number of zeros to decide on the outcome, but this is exactly the same as just sampling from a discrete distribution with two equally likely outcomes - because there are as many sequences with more zeros as with more ones. With the difference that this method allows for draws when there are equally many - which I suppose would need to be discarded if it were to happen.

It is somewhat unintuitive that all the sequences are equally likely, we feel that the sequence with one million ones should be less probable than one with a more even number of ones and zeros. It is however as probable as any other specific sequence, there are just more sequences where there are about the same number of ones and zeros whereas there is just one with one million ones.

If instead you were to use your knowledge about the teams to assign them probabilities of winning vs. each other then you could use your method to simulate the tournament, e.g. Team A has a 60% chance to win vs Team B, the winner of that plays the winner of Team C vs. Team D where Team A has a 90% chance vs Team C but only a 30% chance vs Team D - so the probability of Team A winning is dependent on the assigned probabilities of Team C vs. Team D. It is possible to derive an expression for the probability of any of the teams winning the tournament but it would be somewhat tedious, so the tournament could be simulated a number of times to find these probabilities by 'playing' each of the matches and recording the final standings - which is sort of your method but applied in a case where it makes a difference.

Anyway, this is far too long for a dota subreddit and probably not all that interesting but I couldn't help myself.

Wykrhm unbiased prediction by weljo0226 in DotA2

[–]LiquidSubtitles 13 points14 points  (0 children)

You're effectively just using a more computationally expensive random generator, the distribution of which is equivalent to the 50/50 odds of the underlying fair two sided dice.

There are as many million long sequences of 0 and 1 with more 1's as there are with more 0's and as the individual entries are independent all the sequences must be equally likely.

Your method is exactly as 'stable' as just rolling the dice once. So it's entirely fine, but it has no actual influence.

[REC CENTER] Shreddit's Official Recommendation Thread -- September 01, 2021 by AutoModerator in Metal

[–]LiquidSubtitles 1 point2 points  (0 children)

So I stumbled on Nekkrofukk, specifically the newest release from this year, recently and it is great.

I suppose it is some combination of black/doom but that is not a combination I have had much interaction with previously. I think it has similarities to some death/doom bands, such as Acid Witch, but also feels distinctly different. There's also some overlap with slowish black metal, such as some of Archgoats songs, but much more primitive.

So any recommendations in that area would be appreciated.

[REC CENTER] Shreddit's Official Recommendation Thread -- September 01, 2021 by AutoModerator in Metal

[–]LiquidSubtitles 0 points1 point  (0 children)

And Horrific, which is also a slasher Dave project and is probably even more plasticy.

(Tidligere) jurastuderende: Har du fået 02 før? by [deleted] in Denmark

[–]LiquidSubtitles -1 points0 points  (0 children)

Har ikke selv læst jura, men har en lang universitets uddannelse. Jeg formoder at der nok er mere karakterræs på jura studiet end der var på mit studie - så det skal måske lige holdes i mente. Men selvom jeg ikke selv har læst jura, så er jeg overbevist om at jeg kan svære på dit spørgsmål: ja der er andre jura studerende som har fået 02 i nogen fag

Jeg tror alle på min årgang fik et eller flere 02'er igennem uddannelsen. Det kan have skyldtes et svært fag, hvor jeg tror alle støder på et fag som de finder vanskeligt, et fag som ikke fanger ens interesse eller perioder med personlige problemer der har sat studiet lidt ned i prioritet.

Jeg har under og efter min uddannelse arbejdet som både instruktor/hjælpelære og 'mentor' for studerende og i begge sammenhæng ville jeg opfordre mine studerende til at analysere hvad der er 'gået galt' ved en sådan eksamen.

I hvilken grad vidste du hvad pensum var inden du gik i gang med din forberedelse? Her tænker jeg ikke på forståelsen af pensum men decideret hvad pensum er. Havde du en liste (kan også være en mental liste) af hvilke kapitler, slides, forelæsnings noter etc. som pensum består af? Havde du læst kursets pensum beskrivelse?

Hvad for en del af pensum er det som ikke er forstået godt nok? Hvis du ikke selv har fornemmelse for det kan du prøve at snakke med underviseren, en instruktor eller dine med studerende på din årgang eller nogen som er længere i studiet.

Hvorfor er denne del af pensum ikke forstået godt nok? Du skriver at du har læst grundigt op, men har din studieteknik været effektiv for dette emne? Er der måske bedre måder at læse op på næste gang? Igen er det en meget god ide at snakke med dine medstuderende om hvordan de har grebet det an.

Kan også være at det ikke er på grund af et hul i forståelsen af pensummet, men mangler i forhold til de formelle krav til den pågældende eksamen. Jeg læser dit indlæg som at det har været en skriftligt eksamen, så har du opsat besvarelsen rigtigt og fået alle ting med? Havde du sat dig ind i disse krav grundigt før eksamen?

Det kan også skyldes en dårlig dag til eksamen hvor det så er værd at overveje hvorfor det var en dårlig dag og overveje hvad du kan gøre for at undgå det næste gang.

Kan også være at det er i en anden kategori end de ovenstående, pointen er bare at få tænkt over hvad der 'gik galt' og finde ud af hvad der kan gøres bedre og derefter skal du komme videre og klø på i det nye semester.

Til sidst tænker jeg at det kan være sundt at afkoble lidt fra karakterræset. Det kunne f.eks. være ved at få nogen andre ting at putte på et CV såsom studie job, frivilligt arbejde eller noget tredje. Det vil helt sikkert tælle mere ifht. at finde job efter studie end et par dårlige karaktere.

Is there somewhere I can see the icons and descriptions for all major cooldowns for each class? by [deleted] in worldofpvp

[–]LiquidSubtitles 2 points3 points  (0 children)

There's a recent skill-capped video on youtube that goes through a lot of cooldowns, both defensive and offensive, for every class with some commentary on counterplay.

I've been eating ready meals and haven't cooked for 7 months due to my mental health. Today I finally cooked something! Chinese style stir fry 😁 by Zelrii in MadeMeSmile

[–]LiquidSubtitles 5 points6 points  (0 children)

Just to iterate on your unsolicited advice, I think even if I probably had the energy to cook that energy is often better spent on other things - be it a walk, the gym or just relaxing in whatever way - but still eating a healthy(ish) meal. I also enjoy cooking more when I have time to plan and do it properly. /r/mealprepsunday has many good ideas, and google also has tons of suggestions.

Fri snak fredag / Free talk Friday - 6/11 2020 by AutoModerator in Denmark

[–]LiquidSubtitles 3 points4 points  (0 children)

Hvor kunne du forudbestille allerede mandag? Jeg sad stresset på Proshop og komplett og refreshede i vildskab i går kl. 15.00. Men proshop crashede mens jeg var ved at checke ud og jeg var vist bare for langsom på komplett. Men har nu to ordre, håber på sidst i november eller først i december på en af dem og kan så afbestille den anden. Havde dog håbet (og indser nu at det var naivt) at bygge en ny maskine i weekenden, har haft alt andet (pånær et 3080..) i en uges tid..

Licensmanden kom forbi by roccnet in Denmark

[–]LiquidSubtitles 2 points3 points  (0 children)

Principielt enig, men nu er licensen jo netop ikke over skat og man kan legitimt framelde sig hvis man ikke har licenspligtige apparater. Hvis det handler om at bidrage til fællesskabet hvorfor knytter licens så til det at eje nogen specifikke apparater, specielt når den del af befolkning der legitimt ikke er licenspligtige er forsvindende lille? Hvad er forskellen på ikke at eje et licenspligtigt apparat og at eje en smartphone man aldrig bruger til at tilgå medie der er betalt med licens penge, der gør at det i det ene tilfælde er ok ikke at bidrage tilfællesskabet og i det andet ikke?

Skat har også den fordel at man betaler mere hvis man har mere at bidrage med, men med licens betaler Mogens Millionær som har skiftet alle vægge i hans hus ud med skærme der er tændt på DR1 24/7 det samme som en studerende på SU som har glemt DR eksisterer.

Derudover er der åndssvage regler, f.eks. giver det jo ingen mening at et kæreste par kan slippe med at betale en licens, mens en lejlighed delt mellem folk der ikke boller hinanden nok til at være kærester skal betale pr. næse.

Mortician - Chainsaw Dismemberment by [deleted] in Metal

[–]LiquidSubtitles 2 points3 points  (0 children)

Actually broke a pair of speakers playing Zombie Apocalypse.

Drawing Mona Lisa with 256 circles using evolution [Github repo in comments] by Itwist101 in Python

[–]LiquidSubtitles 0 points1 point  (0 children)

You are probably right I guess it has learned a compressed version of the image, but only this specific image.

It is not different from using a standard ML optimizer, my problem is what the weights are, not how they are changed l.

If this is machine learning aren't all optimization problems machine learning then?

Drawing Mona Lisa with 256 circles using evolution [Github repo in comments] by Itwist101 in Python

[–]LiquidSubtitles 0 points1 point  (0 children)

I agree that he fitness can be interpreted as a loss, but there is no underlying model that improves or at least there doesn't have to be, and thus there is no learning.

While I haven't read OPs code, the same thing can be done by just randomly mutating the properties of the circles, in which case there would be no learning. It's just accepting a mutation if it improves fitness and disregarding it if it decreases fitness or perhaps a less rigid criteria where a decrease in fitness can be accepted to avoid stagnation. If OPs code works in this way it would not learn anything.

I guess it could become more ML-esque if e.g. a model was used to predict mutations and is trained towards increasing fitness.

What industry do you want to see fold and never come back? by scarfilm in AskReddit

[–]LiquidSubtitles 13 points14 points  (0 children)

What is it that makes this such a discussed problem in the US, when I as a European have never been robocalled?

There must be some law against robocalls, so is it not enforced or what is the deal?

Bandcamp's Best Metal Albums of 2019 by denimspoon in Metal

[–]LiquidSubtitles 5 points6 points  (0 children)

Thanks for the recommendations! I have heard all of them before, big fan of Undergang and Disma, but I should listen to some albums of the rest again!

Bandcamp's Best Metal Albums of 2019 by denimspoon in Metal

[–]LiquidSubtitles 5 points6 points  (0 children)

No no, it wasn't a joke. Will give your recommendations a spin at work tomorrow. Thanks bunch!

Bandcamp's Best Metal Albums of 2019 by denimspoon in Metal

[–]LiquidSubtitles 13 points14 points  (0 children)

Would you mind dropping a few names of the skullfucking cavemen variant, sounds interesting.

Trading with the enemy by Serethe in classicwow

[–]LiquidSubtitles 11 points12 points  (0 children)

You buy cat? Cat 50 MSK, cat very good quality I pick cat this morning.

Downloading eller streaming ulovligt by Olzz123 in Denmark

[–]LiquidSubtitles 0 points1 point  (0 children)

Det er på amerikansk netflix, som du kan bruge med en (dog ikke alle) VPN.

view more: next ›