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mintupdate

The Linux Mint Update Manager

naivecoin

A cryptocurrency implementation in less than 1500 lines of code

new-dev-machine

Actions I need to take in order to setup a new dev machine

npm-expansions

Send us a pull request by editing expansions.txt

obs-studio

OBS Studio - Free and open source software for live streaming and screen recording

odrive

Google Drive GUI for Windows / Mac / Linux

perigk.github.io

Content files for my blog. All articles are cloned on freecodecamp and dev.to, as well. The blog is built with hugo

personal-security-checklist

🔒 A curated checklist of 300+ tips for protecting digital security and privacy in 2021

piratestalk

A simple utility who gets a sentence/word as an input and translates it into pirate jargon

portfolio-analysis-model

Documentation behind the model used to analyse Portfolios in Simply Wall St

prod-airflow

Helping you get Airflow running in production.

pylele

Simple script to calculate the days remaining till the dismissal from the army

pylintrc

Pylintrc

pyspaceinvaders

A space invaders clone, initially based on tuxradar's version

python

:snake: Python Programs

python-greeklish

python-kafka-avro

A simple examle for Python Kafka Avro

python-mockery

Short tutorial on python mocks and unit testing

pyutils

repo-badges

:star: Use repo badges (build passing, coverage, etc) in your readme/markdown file to signal code quality in a project.

research

dataset and code for 2016 paper "Learning a Driving Simulator"

rest-framework-tutorial

secure-code-review-checklist

sentdex_keras_samples

shamir-for-cloud-environments

Secret sharing implementation allows users to split and combine their files according to a default (2, 3) scheme.

soccer-cli

:soccer: Football scores for hackers. :computer: A command line interface for all the football scores.

starlette

The little ASGI framework that shines. 🌟

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

techleading

Resources for tech leads

terraform-cookbook

Terraform Examples, Tips and Tricks