Julian Späth's starred repositories
hackingtool
ALL IN ONE Hacking Tool For Hackers
open-source-ios-apps
:iphone: Collaborative List of Open-Source iOS Apps
ColossalAI
Making large AI models cheaper, faster and more accessible
OpenBBTerminal
Investment Research for Everyone, Everywhere.
openai-python
The official Python library for the OpenAI API
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
openhaystack
Build your own 'AirTags' 🏷 today! Framework for tracking personal Bluetooth devices via Apple's massive Find My network.
awesome-chatgpt-api
Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota.
Gramformer
A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
vscode-ltex
LTeX: Grammar/spell checker :mag::heavy_check_mark: for VS Code using LanguageTool with support for LaTeX :mortar_board:, Markdown :pencil:, and others
arx
ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.
awesome-data-leadership
A curated list of awesome posts, videos, and articles on leading a data team (small and large)
timeseriesflattener
Converting irregularly spaced time series, such as eletronic health records, into dataframes for tabular classification.
strm-privacy-diagnostics
A simple Python package to quickly run privacy metrics for your data. Obtain the K-anonimity, L-diversity and T-closeness to asses how anonymous your transformed data is, and how it's balanced with data usability.