This repository is to hold (Jupyter) notebooks I have created that I think may be interesting for others.
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Using Git - An introduction to the internals of Git, how Git operations affect them, and what that means for undoing and recovering stuff.
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Introduction to Reinforcement Learning - An overview on the theorie of Reinforcement Learning with some example code, and pointers to cool new developments such as Deep RL. As presented at the London Self-Driving/Autonomous Car Technology Meetup.
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Python Workshops - An introduction to Python, with sessions covering Python basics, control and project structures, classes & objects, decorators, and some packages in Python's standard library.
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Object detection with (Fast(er)) RCNNs - A walk through the members of the R-CNN deep neural object detection family.
Each notebook has its requirements file to install packages needed to run the notebook yourself:
pip install -r requirements.txt
Jupyter is assumed to already be installed.