Skip to content
View GregaVrbancic's full-sized avatar

Highlights

  • Pro
Block or Report

Block or report GregaVrbancic

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
GregaVrbancic/README.md

Hi πŸ‘‹, I'm Grega

A passionate deep learning entusiast and data scientist working as a Assistant Professor at the University of Maribor, Slovenia.

gregavrbancic

Metrics

πŸ™Œ You can support my work with donations πŸ™Œ

  • Bitcoin: 356y5uzyTsrXBGUGJWhU4fetcQKHKHW8YA
  • bitcoincash:pq4urptppsc6g7uxw2tpggqvr3482z4lts3p66xuxr
  • Lumen: GA5XIGA5C7QTPTWXQHY6MCJRMTRZDOSHR6EFIBNDQTCQHG262N4GGKTM
  • ZCash: zs18a47ucg2hpg8tprejvxkmtmghr288eqe67snlm6wnsm3rd3kp6lml3tleh74tx5veur2gk7c8hl

Pinned

  1. NiaOrg/NiaPy NiaOrg/NiaPy Public

    Python microframework for building nature-inspired algorithms. Official docs: https://niapy.org

    Python 253 76

  2. fastapi-celery fastapi-celery Public

    Minimal example utilizing fastapi and celery with RabbitMQ for task queue, Redis for celery backend and flower for monitoring the celery tasks.

    Python 494 108

  3. Phishing-Dataset Phishing-Dataset Public

    Phishing dataset with more than 88,000 instances and 111 features. Web application available at. https://gregavrbancic.github.io/Phishing-Dataset/

    Svelte 50 14

  4. deploy-keras-model deploy-keras-model Public

    Repository containing the examples on how to deploy keras model.

    Shell 1

  5. docker-netextender docker-netextender Public

    Dockerized SonicWall NetExtender VPN client

    Dockerfile 5 1

  6. url-feature-extractor url-feature-extractor Public

    Extracting features from URLs to build a data set for machine learning. The purpose is to find a machine learning model to predict phishing URLs, which are targeted to the Brazilian population.

    Python 4 15