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diff --git a/.github/next_release.md b/.github/next_release.md index 5a74966d..f27af825 100644 --- a/.github/next_release.md +++ b/.github/next_release.md @@ -1,23 +1,22 @@ -We are pleased to announce the release 3.4.0 of the GUDHI library. +We are pleased to announce the release 3.8.0 of the GUDHI library. -As a major new feature, the GUDHI library now offers dD weighted alpha complex, pip and conda packages for Python 3.9. +As a major new feature, the GUDHI library now offers Perslay, a Tensorflow model for the representations module. -We are now using GitHub to develop the GUDHI library, do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). From a user point of view, we recommend to download GUDHI user version (gudhi.3.4.0.tar.gz). +We are now using GitHub to develop the GUDHI library, do not hesitate to [fork the GUDHI project on GitHub](https://github.com/GUDHI/gudhi-devel). From a user point of view, we recommend to download GUDHI user version (gudhi.3.X.X.tar.gz). -Below is a list of changes made since GUDHI 3.3.0: +Below is a list of changes made since GUDHI 3.7.1: -- [Alpha complex](https://gudhi.inria.fr/doc/latest/group__alpha__complex.html) - - the C++ weighted version for alpha complex is now available in any dimension D. +- [Perslay](https://gudhi.inria.fr/python/latest/representations_tflow_itf_ref.html) + - Tensorflow model for the representations module -- Simplex tree [C++](https://gudhi.inria.fr/doc/latest/class_gudhi_1_1_simplex__tree.html) [Python](http://gudhi.gforge.inria.fr/python/latest/simplex_tree_ref.html) - - A new method to reset the filtrations - - A new method to get the boundaries of a simplex +- [Hera version of Wasserstein distance](https://gudhi.inria.fr/python/latest/wasserstein_distance_user.html#hera) + - now provides matching in its interface -- [Subsampling](https://gudhi.inria.fr/doc/latest/group__subsampling.html) - - The C++ function `choose_n_farthest_points()` now takes a distance function instead of a kernel as first argument, users can replace `k` with `k.squared_distance_d_object()` in each call in their code. +- [Module](link) + - **...** - Miscellaneous - - The [list of bugs that were solved since GUDHI-3.3.0](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.4.0+is%3Aclosed) is available on GitHub. + - The [list of bugs that were solved since GUDHI-3.7.1](https://github.com/GUDHI/gudhi-devel/issues?q=label%3A3.8.0+is%3Aclosed) is available on GitHub. All modules are distributed under the terms of the MIT license. However, there are still GPL dependencies for many modules. We invite you to check our [license dedicated web page](https://gudhi.inria.fr/licensing/) for further details. @@ -29,3 +28,8 @@ We provide [bibtex entries](https://gudhi.inria.fr/doc/latest/_citation.html) fo Feel free to [contact us](https://gudhi.inria.fr/contact/) in case you have any questions or remarks. For further information about downloading and installing the library ([C++](https://gudhi.inria.fr/doc/latest/installation.html) or [Python](https://gudhi.inria.fr/python/latest/installation.html)), please visit the [GUDHI web site](https://gudhi.inria.fr/). + +## Contributors + +- **...** +- **...** |