Erik Rohkohl
erohkohl
HTWK Leipzig
Languages
Repos
16
Stars
98
Forks
18
Top Language
Python
Loading contributions...
Top Repositories
Modelling of multi-agent-system as Kripke structure and implementation of its knowledge-base with modal logic formulas.
Predicting Stack Overflow's question tags with deep neural networks based on TensorFlow.
Modelling n-queens problem as conjunctive normal form and solving it with DPLL algorithm. This project should made me familiar with Rust and the test driven approach.
Project shows my default workflow for test driven development in the functional programming language Haskell.
This repository contains the sources of my exam project for my subject semantic web at the HTWK Leipzig University of Applied Sciences.
This machine-learning-project serves an implementation of the perceptron-algorithm as linear classifier and shows its result with python's matplotlib.
Repositories
16Modelling of multi-agent-system as Kripke structure and implementation of its knowledge-base with modal logic formulas.
Modelling n-queens problem as conjunctive normal form and solving it with DPLL algorithm. This project should made me familiar with Rust and the test driven approach.
Project shows my default workflow for test driven development in the functional programming language Haskell.
React Hooks app for calculating BMI
This repository contains the sources of my exam project for my subject semantic web at the HTWK Leipzig University of Applied Sciences.
Predicting Stack Overflow's question tags with deep neural networks based on TensorFlow.
Vanilla LSTM with numpy
Implementation of Text Generation Based on Generative Adversarial Nets with Latent Variable
Keras-based LSTM/CNN models for Visual Question Answering
Re-implementation of VGG Network in tensorflow
TensorFlow Tutorials with YouTube Videos
This repository includes the source code of my talk at the JUG Saxony Camp 2017 in Leipzig. The lecture discussed caching techniques for Java EE applications based on JCache API.
This machine-learning-project serves an implementation of the perceptron-algorithm as linear classifier and shows its result with python's matplotlib.
Implementation of Kripke's semantics in the strongly typed programming language Java.
This playground contains independent python modules, which I implemented to train different python-concepts like decorators.
No description provided.