b2net's repositories
big_data_analysis
R Code used in the bachelor thesis "Early Signals for changes of Economic Indicators using Big Data Analysis" (supervised by Lukas Borke)
AI_DL_AWS
materials around AI, Deep learning, AWS ...
API-examples
Code samples that show some of the LYNX API possible implementations
automl
Google Brain AutoML
Clustering_Validation_Pipeline
GitHub-API-Driven Clustering with 5-level Text Mining Validation Pipeline: R based Approach (supervised by Lukas Borke)
csharp-6.0-and-.net-4.6
Source code for 'C# 6.0 and the .NET 4.6 Framework' by Andrew Troelsen and Philip Japikse
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Hands-On-Deep-Learning-for-Finance
Hands-on Deep Learning for Finance published by Packt.
Stochastic_processes
Examples for the simulation of stochastic processes (created by Lukas Borke)
VarCoVaR
VarCoVaR RiskMeter 2.0 (CopyRight by Lukas Borke)
python-cookbook
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
Thesis
PhD Thesis