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author | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2019-03-08 08:50:04 +0100 |
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committer | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2019-03-08 08:50:04 +0100 |
commit | 85f2f9bdd383e86130bb8a1c378484e76ffff569 (patch) | |
tree | 26ac3db1b0c4aa4002ffa3d57554a943bf0d4055 /README.md | |
parent | d7216fffe2a7fb3b15dcb84a4d5464968ae4a436 (diff) |
Use Markdown for README and add some informations
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-rw-r--r-- | README.md | 14 |
1 files changed, 14 insertions, 0 deletions
diff --git a/README.md b/README.md new file mode 100644 index 00000000..e5d1c382 --- /dev/null +++ b/README.md @@ -0,0 +1,14 @@ +![alt text](https://gudhi.inria.fr/assets/img/logo.png "GUDHI library - Topological data analysis and geometric inference in higher dimensions") + +The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding. The library offers state-of-the-art data structures and algorithms to construct simplicial complexes and compute persistent homology. + +# Compilation and installation + +To install GUDHI, you can follow the [C++ compilation procedure](https://gudhi.inria.fr/doc/latest/installation.html), the [Python compilation procedure](https://gudhi.inria.fr/python/latest/installation.html), use our [conda-forge package](https://gudhi.inria.fr/conda/), or [go with Docker](https://gudhi.inria.fr/dockerfile/). + +# More information + +* [The GUDHI website](https://gudhi.inria.fr/) +* [Contact us](https://gudhi.inria.fr/contact/) +* [Subscribe to the GUDHI users mailing list](https://gudhi.inria.fr/keepintouch/) +* [Tutorials](https://gudhi.inria.fr/tutorials/) |