erlemar/kindlevocabtoanki

KindleVocabToAnki

Hello, I'm Andrey 👋

Important

I have a personal website now! You can find it here

And I have an Obsidian project with my ML-related notes.

I'm an economist by education and usually try to understand why things happen.

For a long time, I was fascinated by foreign languages and studied them: English (my native is Russian), German, Japanese, and Spanish.

Currently, I'm Data Scientist and an active Kaggler.

Also, I have a portfolio listing some of my projects, which include Kaggle kernels, pet-projects, and other things.

Latest Blog Posts

Medium

• Paper Review: Diffusion Feedback Helps CLIP See Better
• Paper Review: Masked Attention is All You Need for Graphs
• Paper Review: RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
• Paper Review: Unveiling Encoder-Free Vision-Language Models
• Paper Review: Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning

Habr (russian language)

• [Перевод] Мой путь изучения иностранных языков: прошлое, настоящее и будущее
• Третья жизнь пет-проекта по распознаванию рукописных цифр
• Как мы не смогли создать медицинского чат-бота. История проекта, который так и не увидел свет
• Из экономистов в дата-сайнтисты или как стать лидером рейтинга Kaggle Notebooks
• Обзор на статью Visual Transformers — новый подход к тренировке моделей компьютерного зрения на основе visual tokens

My talks/interviews

2019:

• ML Training talks about gold winning solution in Kaggle Predicting Molecular Properties Competition
• An overview of 2019 year in Kaggle, Talk in Russian at ODS.AI event
• Data Halloween: predicting chaotic actions of clients. Talk in Russian at ODS.AI event
• Storytelling with data visualization: case of kaggle kernels. Talk in Russian at Data Fest 2019
• Interview with Kaggle Kernels Grandmaster #1: Artgor | Andrew Lukyanenko. Chai Time Data Science | player.fm link
• Kaggle: People, We’ve Gamified Progress

2020:

• Andrey Lukyanenko - Handwritten digit recognition w/ a twist & topic modelling over time
• Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko
• DataFest 2020 talk: My Kaggle Story
• Overview of approaches to "Mechanisms of Action (MoA) Prediction" competition on Kaggle (3 weeks before the end of the competition)
• Metro Analysis and Visualization
• Writing reusable pipelines in Deep Learning | Mindhack! Summit
• December Lightning Talks. Training pipeline with Pytorch Lightning and Hydra

2021:

• Podcast talk about Kaggle, modern ML technologies, frameworks, hardware, and many other things
• Building your Data Science Career: how to become a data scientist

My Github and StackOverflow stats

kindlevocabtoanki's Issues

split the workflow of the app into separate steps

Right now, everything in the app happens at the same time.
The process should be split into several steps:

• extract the data and look at it;
• select translation parameters;
• select and reorder columns;
• download;

Add possibility to change target language

Better design

Write explanations in the app

Possibility to select what to translate: word, stem, sentence

make a sample of data and show working with it

Make it possible to create Anki cards (instead of a simple csv)

Write better readme