Sergey Zakharov's repositories
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
algorithms
Minimal examples of data structures and algorithms in Python
Algorithms-1
A collection of algorithms and data structures
aws-elastic-beanstalk-developer-guide
The open source version of the AWS Elastic Beanstalk Developer Guide. You can submit feedback and requests for changes by submitting issues in this repo or by making proposed changes and submitting a pull request.
course-git-blog-project
Sample repo of a blog for the Git course
flask-hello
web service 4 ds
frontend-nanodegree-styleguide
Official FEND style guides
joint-ner-and-re
This repository contains the corpora and supplementary data, along with instructions for recreating the experiments, for our paper: "End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models".
lighthouse
Automated auditing, performance metrics, and best practices for the web.
logstash-output-clickhouse
Implementation of ClickHouse output for logstash
nd9991-c2-Infrastructure-as-Code-v1-Exercises_Solution
This repository contains the solution to the exercises given in the last concept of each Lesson 1 to Lesson 5.
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
plac
Plac: Parsing the Command Line the Easy Way
soft-eng-interview-prep
Everything you need to know for a Software Engineering interview
style-transfer-video-processor
This code extends the neural style transfer image processing technique to video by generating smooth transitions between several reference style images
veroyatnostnaya_robototehnica
Перевод книги Себастьяна Труна на русский язык
web-services-course
https://www.youtube.com/playlist?list=PLQJ7ptkRY-xYLEAC5Y_sKqrJ9RA-U7Dja
yt-channels-DS-AI-ML-CS
A comprehensive list of 160+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.