Name: Dr. Hans-Peter Störr
Type: User
Company: IST GmbH Dresden
Bio: As a software architect and developer, I like to create elegant and concise solutions for complex problems, and I'm especially interested how to apply AI there.
Location: Dresden, Germany
Blog: https://www.stoerr.net/
Dr. Hans-Peter Störr's Projects
Adobe Experience Manager links, cheat sheets and solutions to common problems.
AI based code generation pipeline: command line tool and framework for systematic code generation using AI in a build process
Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具,欢迎提交issues 或者pull requests
🏆 An awe-inspiring collection of resources, encompassing a wide range of tools, documents, resources, applications, and use cases related to ChatGPT.
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.
A curated list of resources dedicated to open source GitHub repositories related to ChatGPT
A curated list of Generative AI tools, works, models, and references
Many tools, bookmarklets and apps for productivity using the ChatGPT API
Co-Developer GPT Engine: server that provides read/write file access to a local directory from ChatGPT as OpenAI GPT actions, incl. execution of configured actions on your own machine
Android application for reading comic strips over internet
Exploration how to "auto-implement" a DAO defined as a interface. Vaguely similar to Rails ActiveRecord, but in Java. (DwimDao = "Do What I Mean Data Access Object");
An exploration that intended to improve my calculation of the Feigenbaum constant. Involves heavy mathematics (functional equations resulting from a differential equation, numerical approximation), and was drawing on Jean-Marie Dautelle's Jscience library, for which I wrote some unittests and fixed some bugs at that time.
Very basic template that gets you started quickly when using Scala with the Google Appengine - no web frameworks etc.
Semi-automatic incremental construction and debugging of regular expressions for grok to parse logfiles for logstash http://logstash.net/ . Deployed at http://grokconstructor.appspot.com/ .
Web-App to support a group choice by observing detailed preferences of all members of the group
Actions for OpenAI GPTs to let ChatGPT inspect the Apache Sling / AEM JCR structure
Fixes for JScience 4.3
Personal link database by Hans-Peter Störr
This project is a playground for me to explore implementations of machine learning techniques. In addition to basic stuff such as automatic differentiation it contains the CGP evolutionary learn algorithm, several implementations of simple backpropagation neural networks, and a partial implementation of running such calculations on the GPU with AparAPI.
Some exploratory machine learning code using Tensorflow written in Python
A quick implementation to help find phrases encoding numbers in the mnemonic major system for easy remembering, in English or German. Deployed at http://www.stoerr.net/mastersystem/ .
Some general tools I tend to include in many projects. Not useful as a dependency but for copying and pasting stuff I need.
Exploration how to mock a REST service in tests using mockito and how to access REST services using mockito
This contains an explorational implementation of learning in neural networks, as well as some simple helper classes (automatic differentation, statistics, timing). It covers the RProp algoritm and an experiment to extend the gradient descent idea with using the second derivation to automatically select a good step width.
Root - entry page for my stuff on Github
Root for stoerr.github.io hierarchy
Things I've learned - knowledge base and micro blog