POSTECH Mathematical Institute for Data Science

How to contribute?

Clone this repository into your local directory

> git clone https://github.com/postech-minds/postech-minds.git

Make your own branch, for example,

> git branch minds
> git checkout minds

Once you have changed some files, commit it!

> git status
> git add --all
> git commit -m "<commit message here>"

In the repository, go to Pull requests tab, click New pull request, write some messages, and click Create pull request.

(Paper) A Zomorodian, G Carlsson, Computing Persistence Homology, 2005.
(Paper) N Otter et al., A Roadmap for the Computation of Persistent Homology, 2017.
(Paper) G Carlsson, Topology and Data, 2009.

(Paper) IE Lagaris, A Likas, DI Fotiadis, Artificial Neural Networks for Solving Ordinary and Partial Differential Equations, 1998.
- Keywords: PINN, PDE, Deep learning, Automatic differentiation
(Paper) M Raissia, P PerdikarisbG, E Karniadakisa, Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations, 2019.
- Keywords: PINN, PDE, Deep learning
(Paper) Y Wang, Z Shen, Z Long, B Dong, Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning, 2019.
- Keywords: PDE, Conservation laws, ENO, WENO, Reinforcement learning

Keywords	Title	Author	Language
TDA, Giotto-tda	Introduction to TDA	Seong Heon Lee	KOR