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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 Aufrufe • vor 9 Monaten •via X (Twitter)

33 Kommentare

Profilbild von Dmytro Omelian 🇺🇦
Dmytro Omelian 🇺🇦vor 9 Monaten

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

Profilbild von Chin
Chinvor 9 Monaten

This is fucking nuts dude

Profilbild von Lee Penkman
Lee Penkmanvor 9 Monaten

Nice work! U still at msft research?

Profilbild von AEK_med | AI & ML
AEK_med | AI & MLvor 9 Monaten

good job

Profilbild von cherrie
cherrievor 9 Monaten

WOOHOOO

Profilbild von vilson
vilsonvor 9 Monaten

nice

Profilbild von Prashanth Varma
Prashanth Varmavor 9 Monaten

this is amazing stuff

Profilbild von Joshua Poddoku
Joshua Poddokuvor 9 Monaten

clean execution

Profilbild von Marcus Zethraeus
Marcus Zethraeusvor 9 Monaten

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

Profilbild von LAIN
LAINvor 9 Monaten

That is useful

Profilbild von highkey lowki
highkey lowkivor 9 Monaten

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

Profilbild von prawin sankar
prawin sankarvor 9 Monaten

Interesting tool for beginners in ML!

Profilbild von saii pranay
saii pranayvor 9 Monaten

That's crazy Good

Profilbild von Daksh Malik
Daksh Malikvor 9 Monaten

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

Profilbild von Mudit Arora
Mudit Aroravor 9 Monaten

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

Profilbild von Bob Dylan
Bob Dylanvor 9 Monaten

hell yea

Profilbild von Sarvagya Kulshreshtha
Sarvagya Kulshreshthavor 9 Monaten

hellyes, looks amazing!!

Profilbild von iam_Daniel
iam_Danielvor 9 Monaten

Wow this is incredible, well done.

Profilbild von ezioAuditoreeeee
ezioAuditoreeeeevor 9 Monaten

@cneuralnetwork

Profilbild von SynthesisLedger
SynthesisLedgervor 9 Monaten

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? 🇳🇴

Profilbild von 💻🎒
💻🎒vor 9 Monaten

HISTORY HISTORY HISTORYYYYYYY

Profilbild von Rokunuzjahan Rudro(乌阳, রুদ্র)
Rokunuzjahan Rudro(乌阳, রুদ্র)vor 9 Monaten

Crazy stuff 🔥

Profilbild von prathik.ai
prathik.aivor 9 Monaten

Gotta try this G

Profilbild von Sebastian Buzdugan
Sebastian Buzduganvor 9 Monaten

paper to code mapping is the killer feature

Profilbild von AAFI MALEK
AAFI MALEKvor 9 Monaten

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

Profilbild von Prasad Ghumare
Prasad Ghumarevor 9 Monaten

Best🔥

Profilbild von Punit Vara
Punit Varavor 9 Monaten

Did you build this ?

Profilbild von kendrick
kendrickvor 9 Monaten

Can't wait to try it out!

Profilbild von sayanoviiitch
sayanoviiitchvor 9 Monaten

So cool

Profilbild von oakbit
oakbitvor 9 Monaten

nice

Profilbild von mohit
mohitvor 9 Monaten

damn this is good

Profilbild von .
.vor 9 Monaten

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

Profilbild von Enforcer304
Enforcer304vor 9 Monaten

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

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