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

1. neural_network
2. fuzzy_system
3. cyber_security
4. statistic
5. graph_theory
6. signal_processing
7. real_time_systems
8. linear_algebra
9. multivariable_calculus
10. ordinary_differential_equations/

1. algorithm analysis
2. ai
3. computer_networks

2. computer_vision
3. discrete_structures
4. natural_language_processing
5. linear_optimization

1. 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.