Alexander Fabisch

All articles

1. Normalizing Dual Quaternions

   Discussion of dual quaternion normalization procedures.

2. RigidTransform in SciPy

   An introduction to the RigidTransform class of SciPy 1.16.

3. How to Provide a Reinforcement Learning Environment with Gymnasium

   This is a guide on how to set up a reinforcement learning (RL) environment that is compatible to the Gymnasium 1.0 interface.

4. LaTeX for Dissertations

   This is a brief summary of how the LaTeX code of my dissertation is structured.

5. Cost-regularized Kernel Regression (CrKR)

   A weighted regression method.

6. Broyden-Fletcher-Goldfarb-Shanno (BFGS)

   In this article I discuss the BFGS quasi-Newton optimizer and similar algorithms.

7. Generating Python Bindings

   I wrote a tool to generate Cython wrappers for C++ code that I presented in this article.

8. pytransform

   pytransform (now: pytransform3d) is a library that implements 3D transformations in Python.

9. Maximum Likelihood

   A tutorial on maximum likelihood estimates with examples from machine learning.

10. Learning Curves #2

    What does the term learning curve mean?

11. pybullet

    A tutorial on PyBullet.

12. Slither

    A private replacement for online training logs.

13. Linear Support Vector Machine (SVM)

    A tutorial on linear Support Vector Machines.

14. Regression

    A tutorial on regression algorithms.

15. t-SNE in scikit learn

    A tutorial on the new t-SNE implementation of scikit-learn.

16. Learning Curves in scikit learn

    A tutorial on the new learning curve feature of scikit-learn.

17. Julia

    My opinion on the Julia programming language.