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Johannes Horn's Projects

basic-ml-tasks icon basic-ml-tasks

datamining, linear regression, multinomial logistic regression, cnn´s, gan´s, rnn´s, RL etc.

cooperative-deep-rl-multi-agents icon cooperative-deep-rl-multi-agents

This repository implements multiple Deep-RL agents to solve an 'openai-gym' puzzle. The idea is to share agent learned parameters to solve the puzzle ASAP!

endslate.ai icon endslate.ai

Endslate.AI is a software project which deals with workflow simplification in the film editing process. It automatically examines film and audio material and synchronizes them based on the clapperboard.

esrgan_for_colab icon esrgan_for_colab

Enhances-Super-Resolution-Generative-Adversarial-Networks modified to run in google colab

fusee icon fusee

Fusee aims at becoming a multiplatform 3D realtime engine with a strong emphasis on content transformation and manipulation. Fusee is written mainly in C# and can be programmed in C#. Fusee builds bridges to make your code run in environments that don't support C#, like Content-Creation-Software, C++, Plug-In-APIs and native HTML5/WebGL Javascript code.

mtl-dts icon mtl-dts

Implementation for "Deeper Task-Specificity Improves Joint Entity and Relation Extraction"

push-up-counter-app icon push-up-counter-app

A simple Android app which is able to count your push-ups, gives you some execise suggestions and saves your progress. It uses posenet, a pre-trained deep learning model, to estimate body poses in real time. The key points detected by posenet are used to count your push-ups.

returnn icon returnn

The RWTH extensible training framework for universal recurrent neural networks

rl_sample_injection icon rl_sample_injection

Aims to analyze if the method called "Sample Injection for Reinforcement Learning", in general can be helpful for different reinforcement learning algorithms and evironments to achieve better and/or faster results.

treeo.ai icon treeo.ai

A masks to diameter service based on deeplabV3+ to calculate the diameter of a trunk from the output of deeplabV3+, trained with treeo dataset.

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