schwartenbeckph
Principal Data Scientist @ Alexander Thamm GmbH - Data Science, AI, Computational Neuroscience (PhD)
Alexander Thamm GmbHMunich, Germany
Pinned Repositories
AoC2022
Bayes_Intros
Tutorial material on Bayesian stats and modelling
course-content
Summer course content for Neuromatch Academy
CPC_ActiveInference2018
Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
Generative-Replay
Code and data accompanying the 'Generative replay for compositional visual understanding' paper
LLM_play
MDP_Tutorial
Illustration of Markov Decision Processes (MDPs)
Mechanisms_Exploration_Paper
Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"
RL-Course
Systems-Computational-Neuroscience
schwartenbeckph's Repositories
schwartenbeckph/CPC_ActiveInference2018
Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
schwartenbeckph/MDP_Tutorial
Illustration of Markov Decision Processes (MDPs)
schwartenbeckph/Mechanisms_Exploration_Paper
Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"
schwartenbeckph/RL-Course
schwartenbeckph/Bayes_Intros
Tutorial material on Bayesian stats and modelling
schwartenbeckph/Systems-Computational-Neuroscience
schwartenbeckph/Generative-Replay
Code and data accompanying the 'Generative replay for compositional visual understanding' paper
schwartenbeckph/AoC2022
schwartenbeckph/course-content
Summer course content for Neuromatch Academy
schwartenbeckph/LLM_play
schwartenbeckph/mlops-dev
schwartenbeckph/precourse
A repo for the pre-course work at home exercises
schwartenbeckph/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks