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Nicolay Rusnachenko

nicolay-r
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https://nicolayr.com/

AI & ML interests

Information RetrievalใƒปMedical Multimodal NLP (๐Ÿ–ผ+๐Ÿ“) Research Fellow @BU_Researchใƒปsoftware developer http://arekit.ioใƒปPhD in NLP

Recent Activity

reacted to Xenova's post with ๐Ÿ”ฅ 11 days ago
Introducing the ONNX model explorer: Browse, search, and visualize neural networks directly in your browser. ๐Ÿคฏ A great tool for anyone studying Machine Learning! We're also releasing the entire dataset of graphs so you can use them in your own projects! ๐Ÿค— Check it out! ๐Ÿ‘‡ Demo: https://huggingface.co/spaces/onnx-community/model-explorer Dataset: https://huggingface.co/datasets/onnx-community/model-explorer Source code: https://github.com/xenova/model-explorer
commented on a paper 11 days ago
RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News Texts
new activity 11 days ago
RefalMachine/ruopinionne:Added link to the paper.
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nicolay-r's activity

reacted to Xenova's post with ๐Ÿ”ฅ 11 days ago
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Introducing the ONNX model explorer: Browse, search, and visualize neural networks directly in your browser. ๐Ÿคฏ A great tool for anyone studying Machine Learning! We're also releasing the entire dataset of graphs so you can use them in your own projects! ๐Ÿค—

Check it out! ๐Ÿ‘‡
Demo: onnx-community/model-explorer
Dataset: onnx-community/model-explorer
Source code: https://github.com/xenova/model-explorer
commented a paper 11 days ago
New activity in RefalMachine/ruopinionne 11 days ago

Added link to the paper.

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#2 opened 11 days ago by
nicolay-r
liked a dataset 11 days ago
reacted to Jaward's post with ๐Ÿ”ฅ๐Ÿ‘ 13 days ago
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3096
Finally my first solo preprint is here:) a love letter to the field. Nothing much lol, this is just me trying to finetune my understanding of research behind the recent breakthroughs in reasoning models. Itโ€™s a preprint targeting beginners in the field - will eventually make necessary changes later. In the meantime have fun with it:)
Download: https://github.com/Jaykef/Jaykef/blob/main/papers/The-Dawn-of-Thinking-Machines.pdf
reacted to ginipick's post with ๐Ÿ‘€ 13 days ago
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4619
# โœจ Dream of IKEA: The Future of AI Interior Design โœจ

Hello, AI interior design enthusiasts! ๐Ÿ  Today I'm thrilled to introduce you to **"Dream of IKEA"** - an amazing project that will completely transform your living spaces!

## ๐ŸŒŸ What Can It Do?

**Dream of IKEA** is a magical tool that uses artificial intelligence to transform your ordinary spaces into the interior design of your dreams! ๐Ÿช„

- ๐Ÿ“ธ Simply upload a photo of your room
- ๐Ÿ’ญ Describe your desired style or concept
- ๐ŸŽจ The AI will redesign your space with stunning results!

## ๐Ÿ† Key Features

- **Diverse Style Selection** - Over 20 design styles including Minimalist, Bohemian, Japanese, Scandinavian, and more
- **User-Friendly Interface** - Beautiful, intuitive UI that anyone can use
- **High-Quality Image Generation** - Amazing quality powered by ControlNet and Stable Diffusion
- **Customizable Prompts** - Create completely personalized designs with your own prompts

## ๐Ÿ› ๏ธ Technical Highlights

This project utilizes cutting-edge AI technology:
- **ControlNet** - Maintains the structure of your original image while transforming the style
- **NormalBae** - Creates natural transformations through 3D structure recognition
- **Stable Diffusion** - The core of high-quality image generation

## ๐Ÿ’ก How to Use

1. **Upload a Photo** - Select the space you want to transform
2. **Choose a Style** - Select from Modern, Classic, or Global design styles
3. **Add a Description** - Like "A cozy bedroom with mountain view" to refine your results
4. **Click Generate** - Let the AI work its magic! ๐Ÿช„โœจ

## ๐Ÿ”ฎ Make Your Dream Space a Reality!

What space are you dreaming of? A minimalist Nordic living room? A glamorous Hollywood-style bedroom? Or perhaps a warm Bohemian kitchen? Now you can visualize all your interior design dreams with the help of AI!

## ๐Ÿš€ Start Now!
ginigen/interior-design
reacted to julien-c's post with ๐Ÿ”ฅ 14 days ago
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4089
BOOOOM: Today I'm dropping TINY AGENTS

the 50 lines of code Agent in Javascript ๐Ÿ”ฅ

I spent the last few weeks working on this, so I hope you will like it.

I've been diving into MCP (Model Context Protocol) to understand what the hype was all about.

It is fairly simple, but still quite powerful: MCP is a standard API to expose sets of Tools that can be hooked to LLMs.

But while doing that, came my second realization:

Once you have a MCP Client, an Agent is literally just a while loop on top of it. ๐Ÿคฏ

โžก๏ธ read it exclusively on the official HF blog: https://huggingface.co/blog/tiny-agents
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reacted to as-cle-bert's post with ๐Ÿ”ฅ 14 days ago
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2887
Ever dreamt of ingesting into a vector DB that pile of CSVs, Word documents and presentations laying in some remote folders on your PC?๐Ÿ—‚๏ธ
What if I told you that you can do it within three to six lines of code?๐Ÿคฏ
Well, with my latest open-source project, ๐ข๐ง๐ ๐ž๐ฌ๐ญ-๐š๐ง๐ฒ๐ญ๐ก๐ข๐ง๐  (https://github.com/AstraBert/ingest-anything), you can take all your non-PDF files, convert them to PDF, extract their text, chunk, embed and load them into a vector database, all in one go!๐Ÿš€
How? It's pretty simple!
๐Ÿ“ The input files are converted into PDF by PdfItDown (https://github.com/AstraBert/PdfItDown)
๐Ÿ“‘ The PDF text is extracted using LlamaIndex readers
๐Ÿฆ› The text is chunked exploiting Chonkie
๐Ÿงฎ The chunks are embedded thanks to Sentence Transformers models
๐Ÿ—„๏ธ The embeddings are loaded into a Qdrant vector database

And you're done!โœ…
Curious of trying it? Install it by running:

๐˜ฑ๐˜ช๐˜ฑ ๐˜ช๐˜ฏ๐˜ด๐˜ต๐˜ข๐˜ญ๐˜ญ ๐˜ช๐˜ฏ๐˜จ๐˜ฆ๐˜ด๐˜ต-๐˜ข๐˜ฏ๐˜บ๐˜ต๐˜ฉ๐˜ช๐˜ฏ๐˜จ

And you can start using it in your python scripts!๐Ÿ
Don't forget to star it on GitHub and let me know if you have any feedback! โžก๏ธ https://github.com/AstraBert/ingest-anything
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posted an update 15 days ago
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2635
๐Ÿš€ Delighted to share a major milestone in adapting reasoning techniques for data collections augmentation!
Introducing bulk-chain 1.0.0 -- the first major release of a no-string API for adapting your LLM for Chain-of-Thought alike reasoning over records with large amount of parameters across large datasets.

โญ Check it out: https://github.com/nicolay-r/bulk-chain

Whatโ€™s new and why it matters:
๐Ÿ“ฆ Fully no-string API for easy client deployment
๐Ÿ”ฅ Demos are now standalone projects:

Demos:
๐Ÿ“บ bash / shell (dispatched): https://github.com/nicolay-r/bulk-chain-shell
๐Ÿ“บ tksheet: https://github.com/nicolay-r/bulk-chain-tksheet-client

Using nlp-thirdgate to host the supported providers:
๐ŸŒŒ LLM providers: https://github.com/nicolay-r/nlp-thirdgate
reacted to fdaudens's post with ๐Ÿคฏ 30 days ago
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4115
๐ŸŽจ Designers, meet OmniSVG! This new model helps you create professional vector graphics from text/images, generate editable SVGs from icons to detailed characters, convert rasters to vectors, maintain style consistency with references, and integrate into your workflow.

@OmniSVG
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authored a paper about 1 month ago
upvoted a paper about 1 month ago
commented a paper about 1 month ago
updated a collection about 1 month ago
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posted an update about 1 month ago
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1765
๐Ÿ“ข For those who in textual IR and experimenting with quick deployment of CoT / reasoning, the following update might be relevant. I am happy to announce new version of the bulk-chain 0.25.3. It is a no-string framework for quick application of reasoning schema adaptation over your data.

https://github.com/nicolay-r/bulk-chain/releases/tag/0.25.3

The latest release brings huge updates on:
โœ… Reforged mechanism of models inference that work in steraming mode.
- Callbacks support for streaming mode (earlier only in demo)
- Deployment of various clients (shell, tksheet; see attachment)
โœ… Support for batching (earlier in API mode only)
โœ… Optional caching of inferred data in SQlite (always enabled earlier)
- This now makes possible to faster launch small (but mighty) LLMs

๐ŸŒŸ Project: https://github.com/nicolay-r/bulk-chain
๐ŸŒŒ Proviers: https://github.com/nicolay-r/nlp-thirdgate
liked a model about 2 months ago
posted an update about 2 months ago
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1667
The Concept behind xLSTM has recently turn into the xLSTM-7B model that showcase the performance in the category of the similar-scale Gemma 7B, LLama2 7B, FlaconMamba 7B but with higher performing Inference Kernel

Model: NX-AI/xLSTM-7b
Paper: https://arxiv.org/abs/2503.13427

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liked a model about 2 months ago