Valentyn Riabukhin (@ryabuhin)
github

ryabuhin

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  • Stars
    star
    27
  • Global Rank 529,752 (Top 19 %)
  • Followers 10
  • Following 19
  • Registered over 8 years ago
  • Most used languages
    Java
         25.0 %
    Go
         25.0 %
    Shell
         12.5 %
    Scala
         12.5 %
    C
         12.5 %
    Python
         12.5 %
  • Location πŸ‡ΊπŸ‡¦ Ukraine
  • Country Total Rank 2,793
  • Country Ranking
    Go
         120
    Scala
         122
    Shell
         476
    C
         746
    Java
         866
    Python
         1,328

Top repositories

1

golang_linux_rawsockets

Work with IP layer and ICMP/TCP/UDP packets on the linux raw socket level. Golang implementation *unix ping, tracert + is host alive
Go
13
star
2

histogram_tool

Java
3
star
3

trello_time_manager

This is an open source project for improving personal time management productivity using tools like Trello Dashboards and Telegram. A Trello dashboard is used for tracking, planning and saving of personal activity, and a Telegram is used to notify about different changes on dashboards. Today, in the development process, there is a functionality for predicting and assigning existing tasks for a year, a month, a week using neural networks. This is necessary for better task organization and increasing productivity without involving the human factor.
Python
3
star
4

kafka_cli

CLI for interacting with Apache Kafka and other related services.
Shell
2
star
5

kafel

framework for transferring legacy and non-reactive projects into reactive
1
star
6

unix_devices

unix philosophy about devices / interaction with unix devices (android unix/linux kernel)
C
1
star
7

docker

1
star
8

scala_wbgradle_s-c_messanger

Socket client | server messanger on scala bwgradle. Own development with GUI by pattern MVP
Scala
1
star
9

kafka-connect-postgresql-jdbc

Implementation of Kafka sink/source connectors for working with PostgreSQL
Java
1
star
10

golang_neural_network

Neural network implementations on Golang. Realization of the method of back propagation error (machine learning)
Go
1
star