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EPAM Systems
- London
- uladkaminski.com
- @uladkaminski
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OCR, layout analysis, reading order, table recognition in 90 languages
ML Course created for Bauman Moscow State Technical University
Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
π₯ The perfect ORM to work with complex databases π₯
A platform that helps you deploy services with one click.
Interactive Tools for Machine Learning, Deep Learning and Math
Turns Data and AI algorithms into production-ready web applications in no time.
Python library designed to parse Markdown files and strings to extract code snippets based on specific programming languages.
Open Source Alternative to Vercel, Netlify and Heroku.
Drag & drop UI to build your customized LLM flow
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
An open-source framework for collaborative AI agents, enabling diverse, distributed agents to team up and tackle complex tasks through internet-like connectivity.
Examples and guides for using the OpenAI API
A framework for serving and evaluating LLM routers - save LLM costs without compromising quality!
Streamlit β A faster way to build and share data apps.
A collection of guides and examples for the Gemma open models from Google.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
π OpenHands: Code Less, Make More
A massively parallel, high-level programming language
Easily find Raycast Extensions!π
A fast tool to convert any website into LLM-ready markdown data. Built by https://supermemory.ai
An experimental UI for text-to-knowledge-graph generation