Mykhailo Shtopko

19 posts

Mykhailo Shtopko

Mykhailo Shtopko

@bioMikeee

Ml researcher & COO @knowledgator

Beigetreten Mart 2019
73 Folgt25 Follower
Mykhailo Shtopko retweetet
Knowledgator
Knowledgator@knowledgator·
🚀 Meet GLinker — an ultra-fast, modular, zero-shot entity linking system. Back in 2024, we developed GLiNER bi-encoder that enabled zero-shot NER across hundreds of entity types. But that was just the start. Our real goal was linking text to millions of entities dynamically, without retraining. After ~2 years of research & engineering, it’s here. github.com/Knowledgator/G…
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Mykhailo Shtopko
Mykhailo Shtopko@bioMikeee·
@snwy_me @charliermarsh try to install the same version of cuda toolkit and cuda (it should be also the same as in your torch build); ninja to speed up compiling
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snwy
snwy@snwy_me·
@charliermarsh can never just install it; either it isn’t built against my torch version or my cuda version…
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snwy@snwy_me·
WHY IS FLASH-ATTN SUCH A PIECE OF SHIT? AND WHY DOES NOBODY FUCKING DO SOMETHING ABOUT IT? OH MY FUUUUCKING GOD
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Mykhailo Shtopko retweetet
Knowledgator
Knowledgator@knowledgator·
🚀 Encoders are making come back 🚀 We’re thrilled to share our latest technical paper on the multi-task #GLiNER model. It covers such topics as multi-task encoders, self-learning and synthetic data generation: Paper: arxiv.org/abs/2406.12925
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Mykhailo Shtopko retweetet
Knowledgator
Knowledgator@knowledgator·
Our first million 💸- IUPAC2SMILES-base model crossed 1M downloads @huggingface . It was designed to accurately translate IUPAC chemical names to SMILES. The model is based on the MT5 model with optimizations to handle both modalities. huggingface.co/knowledgator/I…
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Knowledgator
Knowledgator@knowledgator·
Who could believe that our the most popular model will be the IUPAC2SMILES encoder-decoder for chemistry 🧪? It got 384,391 downloads 🚀🚀🚀 @huggingface , we hope it's not a joke 😁 Model: huggingface.co/knowledgator/I…
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Knowledgator
Knowledgator@knowledgator·
SMILES and IUPAC are like 2 separate #languages in #chemistry, which have unique applications and advantages. To excel in #science, you must handle both simultaneously. Machines handle SMILES better, and they are the main #molecule representations in various databases and modelling applications, but for most people, it is more convenient to communicate in the “IUPAC language”. So, to machine-accelerate the #research, we need translators handling gaps between chemical notations. Imagine a case: - You read a paper and find a molecule in IUPAC notation that has interesting properties - Copy IUPAC, paste it to a translator and get the corresponding SMILES - Feed SMILES to a modelling tool that finds similar SMILES (molecules) - Feed those SMILES to a translator, get their IUPACs and search for information about those molecules on the web, papers, databases, etc!
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Mykhailo Shtopko retweetet
Knowledgator
Knowledgator@knowledgator·
Manual converting #SMILES to #IUPAC names is time-consuming and challenging, while commercial software costs thousands of dollars. Thanks to @Gradio, we can quickly contribute to #openscience and demonstrate the power of our models that can automatise conversion between different formats of molecules. Check it here huggingface.co/spaces/knowled….
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Knowledgator
Knowledgator@knowledgator·
We can’t hold it anymore! In an hour, our #research team is presenting a collection of #opensource models for #chemistry: SMILES to IUPAC converter IUPAC to SMILES converter The fundamental chemical encoder Hope #computationalchemistry community will like it and contribute!
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Mykhailo Shtopko retweetet
UkrTeenScience
UkrTeenScience@ukrteenscience·
фізика фізика якби енштейн не зіпсув все
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UkrTeenScience
UkrTeenScience@ukrteenscience·
hi there! наукова спільнота UkrTeenScience тепер у твітері😉 якщо ви захоплюєтесь наукою або просто любите мемчики - welcome колись життя на Землі зародилося з однієї бактерії. можливо, твоя любов до науки почнеться з одного цікавого факту, знайденого тут? максимальний ретвіт!
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UkrTeenScience
UkrTeenScience@ukrteenscience·
світ, якби всі користувалися Вієтом
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Event Horizon 'Scope
Event Horizon 'Scope@ehtelescope·
With or without sprinkles, our favorite donuts are supermassive! Happy #DonutDay ! 🍩
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NASA JPL
NASA JPL@NASAJPL·
An aerial view from Mars. During #MarsHelicopter’s 25th flight, it flew 2,310 ft (704 m) at a speed of 12 mph (5.5 m/s), breaking its own distance and groundspeed records on another planet. Imagery recently downlinked shows Ingenuity’s point of view. go.nasa.gov/3GqC6aO
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Mykhailo Shtopko retweetet
Getty
Getty@GettyMuseum·
We challenge you to recreate a work of art with objects (and people) in your home. 🥇 Choose your favorite artwork 🥈 Find three things lying around your house⠀ 🥉 Recreate the artwork with those items And share with us.
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Mykhailo Shtopko
Mykhailo Shtopko@bioMikeee·
“The reason we like best for becoming an entrepreneur is that you are extremely passionate about an idea and believe that starting a new company is the best way to bring it into the world.” — @moskov link.medium.com/H4sidOpmp5
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