jbaehne Goto Github PK
Name: Jason
Type: User
Jason's Projects
advanced-terraform-3099246
This is a repo for the LinkedIn Learning course Advanced Terraform
aktaion
Aktaion: Open Source ML tool and data samples for Exploit and Phishing Research
aleph
Search and browse documents and data; find the people and companies you look for.
amazon-redshift-developer-guide
This is the documentation for the Amazon Redshift Developer Guide
app-store-reviews-and-translations
aws-ecs-airflow
Run Airflow in AWS ECS(Elastic Container Service)
aws_utilities
a collection of scripts I use when working with AWS
bounding-box-labeler-yolo
data-engineering-exercise
This repo contains an outline of the exercise we will be giving to data engineering candidates.
database-administration
dbeaver
Free universal database tool and SQL client
fastannotationtool
A tool using OpenCV to annotate images for image classification, optical character reading, ...
financial_analysis
This repository is a collection of various financial analysis projects/questions that I will be making public. Most of the analysis in this repository will consist of questions I wanted answers to and was unable to find answers I was satisfied with.
learning-terraform-3087701
This repo is for the Linkedin Learning course: Learning Terraform
machine_learning_basics
Plain python implementations of basic machine learning algorithms
magical_universe
Awesome Python features explained using the world of magic
metasploit-omnibus
Packaging metasploit-framework with omnibus
models
Models and examples built with TensorFlow
mootron
A Tron like terminal theme
omnidb
Web tool for database management
orbit
Blockchain Transactions Investigation Tool
orbit-1
personal-photos-model
A neural net trained over a person's personal photo collection to do face detection
pythondatasciencehandbook
Python Data Science Handbook: full text in Jupyter Notebooks
stackoverflow
Findings from Stackoverflow 2017
stackoverflow-survey-data
tensorflow_deep_learning_models
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
thinkstats2
Text and supporting code for Think Stats, 2nd Edition
uap-python
Python implementation of ua-parser
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