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.gitignore
.gitignore
 
 
1. Automotive Cybersecurity - A Cold Start Problem.ipynb
1. Automotive Cybersecurity - A Cold Start Problem.ipynb
 
 
2. Monolithic AD & ML Approaches and Why They are Unsatisfactory.ipynb
2. Monolithic AD & ML Approaches and Why They are Unsatisfactory.ipynb
 
 
3. Using H1st.AI to Encode Human Insights as a Model and Harmonize Human + ML in a H1st.Graph.ipynb
3. Using H1st.AI to Encode Human Insights as a Model and Harmonize Human + ML in a H1st.Graph.ipynb
 
 
4. Summary & Further Resources.ipynb
4. Summary & Further Resources.ipynb
 
 
H1st-logo.png
H1st-logo.png
 
 
Introduction.ipynb
Introduction.ipynb
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
_config.yml
_config.yml
 
 
_toc.yml
_toc.yml
 
 
aegis_datagen.py
aegis_datagen.py
 
 
blstm_injection_msg_classifier.py
blstm_injection_msg_classifier.py
 
 
config.py
config.py
 
 
gradient_boosting_msg_classifier.py
gradient_boosting_msg_classifier.py
 
 
graph.py
graph.py
 
 
msg_freq_event_detector.py
msg_freq_event_detector.py
 
 
util.py
util.py
 
 

README.md

This subfolder host the main H1st tutorial, you can follow it online here https://h1st.ai/.

Tutorial pages:

* Introduction.ipynb
* Automotive Cybersecurity - A Cold Start Problem.ipynb
* 2. Monolithic AD & ML Approaches and Why They are Unsatisfactory.ipynb
* 3. Using H1st.AI to Encode Human Insights as a Model and Harmonize Human + ML in a H1st.Graph.ipynb
* 4. Summary & Further Resources

Building the HTML from the notebooks, requires jupyter-book pip install jupyter-book, then jupyter-book build ..