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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

pdawg

22,279 subscribers

67,468 次观看 • 9 个月前 •via X (Twitter)

教育科学技术

Anya Rossi• Live Now

Private livecam show

33 条评论

Dmytro Omelian 🇺🇦 的头像

Dmytro Omelian 🇺🇦9 个月前

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 的头像

Chin9 个月前

This is fucking nuts dude

Lee Penkman 的头像

Lee Penkman9 个月前

Nice work! U still at msft research?

AEK_med | AI & ML 的头像

AEK_med | AI & ML9 个月前

good job

cherrie 的头像

cherrie9 个月前

WOOHOOO

vilson 的头像

vilson9 个月前

nice

Prashanth Varma 的头像

Prashanth Varma9 个月前

this is amazing stuff

Joshua Poddoku 的头像

Joshua Poddoku9 个月前

clean execution

Marcus Zethraeus 的头像

Marcus Zethraeus9 个月前

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

LAIN 的头像

LAIN9 个月前

That is useful

highkey lowki 的头像

highkey lowki9 个月前

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

prawin sankar 的头像

prawin sankar9 个月前

Interesting tool for beginners in ML!

saii pranay 的头像

saii pranay9 个月前

That's crazy Good

Daksh Malik 的头像

Daksh Malik9 个月前

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 的头像

Mudit Arora9 个月前

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 的头像

Bob Dylan9 个月前

hell yea

Sarvagya Kulshreshtha 的头像

Sarvagya Kulshreshtha9 个月前

hellyes, looks amazing!!

iam_Daniel 的头像

iam_Daniel9 个月前

Wow this is incredible, well done.

ezioAuditoreeeee 的头像

ezioAuditoreeeee9 个月前

@cneuralnetwork

SynthesisLedger 的头像

SynthesisLedger9 个月前

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? 🇳🇴

💻🎒 的头像

💻🎒9 个月前

HISTORY HISTORY HISTORYYYYYYY

Rokunuzjahan Rudro(乌阳, রুদ্র) 的头像

Rokunuzjahan Rudro(乌阳, রুদ্র)9 个月前

Crazy stuff 🔥

prathik.ai 的头像

prathik.ai9 个月前

Gotta try this G

Sebastian Buzdugan 的头像

Sebastian Buzdugan9 个月前

paper to code mapping is the killer feature

AAFI MALEK 的头像

AAFI MALEK9 个月前

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

Prasad Ghumare 的头像

Prasad Ghumare9 个月前

Best🔥

Punit Vara 的头像

Punit Vara9 个月前

Did you build this ?

kendrick 的头像

kendrick9 个月前

Can't wait to try it out!

sayanoviiitch 的头像

sayanoviiitch9 个月前

So cool

oakbit 的头像

oakbit9 个月前

nice

mohit 的头像

mohit9 个月前

damn this is good

. 的头像

.9 个月前

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 的头像

Enforcer3049 个月前

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

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