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Introducing Tensortonic research > Implement ML papers in cloud-native IDEs > Breakdown of all papers to architecture, math, and code > State-of-the-art papers like Transformers, BERT, ViT, DDPM, VAE, GANs and many more

67,373 views • 9 months ago •via X (Twitter)

33 Comments

Dmytro Omelian 🇺🇦's profile picture
Dmytro Omelian 🇺🇦9 months ago

this is the missing bridge between arxiv and actual skills reading papers is easy to fake rewriting them line by line is where gaps scream curious how you handle: - keeping repos in sync with new versions - explaining math without scaring devs off

Chin's profile picture
Chin8 months ago

This is fucking nuts dude

Lee Penkman's profile picture
Lee Penkman8 months ago

Nice work! U still at msft research?

AEK_med | AI & ML's profile picture
AEK_med | AI & ML8 months ago

good job

cherrie's profile picture
cherrie9 months ago

WOOHOOO

vilson's profile picture
vilson8 months ago

nice

Prashanth Varma's profile picture
Prashanth Varma8 months ago

this is amazing stuff

Joshua Poddoku's profile picture
Joshua Poddoku8 months ago

clean execution

Marcus Zethraeus's profile picture
Marcus Zethraeus8 months ago

Love it! Perhaps there's a gamification angle to be explored.

LAIN's profile picture
LAIN8 months ago

That is useful

highkey lowki's profile picture
highkey lowki8 months ago

cant even lie, this is so helpful. love the project, ive been trying to get consistent.

prawin sankar's profile picture
prawin sankar8 months ago

Interesting tool for beginners in ML!

saii pranay's profile picture
saii pranay8 months ago

That's crazy Good

Daksh Malik's profile picture
Daksh Malik9 months ago

good taste of design & color what if we can hv a voice assist. UI,for eg. if a paper is wrtn by Ilya/Dario..then we should hv him on every section of paper..powered by an llm solving our doubts but in Ilya/dario's voice think of it as intelligent companion u hv along everytime

Mudit Arora's profile picture
Mudit Arora8 months ago

this is incredibly useful, especially for people like me who wants to review things before interviews instead of reading the research paper again and again

Bob Dylan's profile picture
Bob Dylan9 months ago

hell yea

Sarvagya Kulshreshtha's profile picture
Sarvagya Kulshreshtha9 months ago

hellyes, looks amazing!!

iam_Daniel's profile picture
iam_Daniel8 months ago

Wow this is incredible, well done.

ezioAuditoreeeee's profile picture
ezioAuditoreeeee8 months ago

@cneuralnetwork

SynthesisLedger's profile picture
SynthesisLedger8 months ago

cloud-native ides for paper breakdowns is a clean unlock - turns theory into traceable pipelines fast. math fidelity is the silent killer in these stacks, pinning schemas stops the entropy. how do you verify execution traces across sessions? 🇳🇴

💻🎒's profile picture
💻🎒9 months ago

HISTORY HISTORY HISTORYYYYYYY

Rokunuzjahan Rudro(乌阳, রুদ্র)'s profile picture
Rokunuzjahan Rudro(乌阳, রুদ্র)8 months ago

Crazy stuff 🔥

prathik.ai's profile picture
prathik.ai8 months ago

Gotta try this G

Sebastian Buzdugan's profile picture
Sebastian Buzdugan8 months ago

paper to code mapping is the killer feature

AAFI MALEK's profile picture
AAFI MALEK8 months ago

is is exactly what i needed, no more squinting at latex at 2am. stoked to dive into the ddpm breakdown!

Prasad Ghumare's profile picture
Prasad Ghumare8 months ago

Best🔥

Punit Vara's profile picture
Punit Vara8 months ago

Did you build this ?

kendrick's profile picture
kendrick8 months ago

Can't wait to try it out!

sayanoviiitch's profile picture
sayanoviiitch8 months ago

So cool

oakbit's profile picture
oakbit8 months ago

nice

mohit's profile picture
mohit9 months ago

damn this is good

.'s profile picture
.9 months ago

hey just signed up on a windows laptop idk why the left side is cropped up even when the screen is entirely zoomed out

Enforcer304's profile picture
Enforcer3048 months ago

They should reveal failed test case inputs just stuck in 1/2 unsolved test cases in each problem

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