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Name: Markus Semmler
Type: User
Name: Markus Semmler
Type: User
A modular python implementation of various policy gradient algorithms for use in control problems on experimental quanser robots. This repository includes implementations of Maximum A Posteriori Policy Optimization, Trust Region Policy Optimization and a draft for Soft Actor Critic.
This is a small framework to simulate algorithms in the area of signal processing. A GUI was implemented and simple transformations like direct inversion, Fourier transformation techniques over regression techniques are available.
A simple project, which explores the variational estimators of Foster (https://arxiv.org/abs/1903.05480) in a Bayesian linear regression setting. Using nested Monte Carlo estimators the exact (convex) information gain is calculated for the regression.
An implementation of boostrapped DQN (https://arxiv.org/abs/1602.04621). It was created during my bachelor thesis at TU Darmstadt, and you can find thesis at http://www.ias.tu-darmstadt.de/uploads/Theses/Abschlussarbeiten/markus_semmler_bsc.pdf.
Burrolib provides a library for multi-agent Markov games for researchers. It considers Markov games from an economical perspective. The modular agent design allows different agent implementations for a single game. The user can choose whether to design an expert system or a free learning approach.
SDK for Financial Modeling Prep's (FMP) API
A collection of useful .gitignore templates
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
This repository contains scripts for executing QLearning algorithms onto different environments. It uses Tensorflow and features different discrete state/action environments. One can display different plots, like the value function or a comparison between different agents. The focus lies on the exploration efficiency.
Bachelor project by using recurrent neural networks to predict the 3-dimensional dynamics of a tetherball. It implements highway networks and also gated recurrent units. This implementation is highly modular, based on Tensorflow and can be adapted accordingly.
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
An implementation of a hierarchical Dirichlet process (HDP) combined with a switching linear dynamical systems (SLDS) from https://arxiv.org/abs/1003.3829. It is a rather complex model and thus computationally expensive. Note the hyper parameters have to be adjusted.
This repository contains several continuous and discrete univariate distributions. It uses MRG32k3a generator to create uniform samples. These uniform samples are then transformed to yield a sample from any supported distribution. A space system is used to represent the domain of the samples.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.