Wellspring is a project to archive all the knowledge that I have acquired during my academic pursuit. Note that it is displayed much better on nbviewer rather than on GitHub.
To archive the knowledge such that:
- it is easily accessible and shareable
- explanations are demonstrated in an interactive fashion, through the use of Jupyter notebooks.
To run the notebooks interactively, navigate to wellspring
directory and use either
env PYTHONPATH=$(pwd) jupyter notebook
or
env PYTHONPATH=$(pwd) jupyter lab
- neural_network
- fuzzy_system
- cyber_security
- statistic
- graph_theory
- signal_processing
- real_time_systems
- linear_algebra
- multivariable_calculus
- ordinary_differential_equations/
- algorithm analysis
- ai
- computer_networks
- computer_vision
- discrete_structures
- natural_language_processing
- linear_optimization
- Basic circuitry
Feel free to create issues (or even PR's) for any typos, improvements, or even if you have any doubts about the subject matter (though the frequency of addressing issues may vary).
All information produced in this repository are adapted from various modules provided by National University of Singapore.