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Google Cloud
- Amsterdam
- https://yorko.github.io
- @ykashnitsky
Highlights
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Lists (8)
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Courses
Materials of MOOCs 🤓Handy
Interviews
Sources for interview tasks, take-home assignments, etc.Kaggle 🏅
Papers 🧑🔬
Side projects
Source code for my side/pet projectsTeaching
Materials of my courses, where I teachTutorials 🤓
Stars
Multi-Agent Team for Creating Long-form Videos
A collection of end-to-end infrastructure blueprints to deploy generative AI infrastructures in GCP, using IaC and following security best-practices.
This repository contains an end-to-end example on how to develop and ADK agent, deploy it to AgentEngine, expose it to AgentSpace
ADK agent that is capable of understanding questions in natural language, converting them into SQL queries, executing the query on a BigQuery database, and returning the results.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Model Context Protocol Servers
Source code for the COLING workshop competition "Detecting automatically generated scientific papers"
This code is used to populate the "ODS jobs dump" Telegram bot, and it can be used for any other dumped Slack channel
Yorko / habr-scraper
Forked from 0xE111/habr-scraperHabr api wrapper & tools to scrape articles
Source code for the ACL workshop paper and Kaggle competition by Google AI team
Random jupyter notebooks on data analysis and machine learning
Командный проект "Закон Джунглей". Майнор ВШЭ "Интеллектуальный анализ данных", курс "Введение в программирование"
A bunch of scripts to install Miniconda and Jupyter on your reserved AWS spot instances
This code reproduces benchmarking experiments presented in Table 4 of the paper "Identifying research supporting the United Nations Sustainable Development Goals"
HuggingFace entry exercise by Yury Kashnitsky
Tutorial on building a YouTube summarization app with Gemini and deploying it with Google Cloud Run
GenMedia Creative Studio is a Vertex AI generative media user experience highlighting the use of Imagen, Veo, Gemini 🍌, Gemini TTS, Chirp 3, Lyria and other generative media APIs on Google Cloud.
Implementation of my RAG system that won all categories in Enterprise RAG Challenge 2
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
"Deep Learning in Natural Language Processing" - a course by DeepPavlov built on top of Stanford's cs224n
Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks
Code for BERT classifier finetuning for multiclass text classification
If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Chat with your own data - LLM+RAG workshop
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.





