Skip to content

Release 0.9.6 #762

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
rflamary merged 3 commits into from
Sep 19, 2025
Merged

Release 0.9.6 #762

Changes from 1 commit
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
982b1a3
Release 0.9.6
rflamary Sep 19, 2025
ef7b6a7
Update RELEASES.md
cedricvincentcuaz Sep 19, 2025
0652267
Update RELEASES.md
cedricvincentcuaz Sep 19, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Next Next commit
Release 0.9.6
  • Loading branch information
@rflamary
rflamary committed Sep 19, 2025
commit 982b1a38a4c80e4e090d0fc55a1adb54d4e0aa20
7 changes: 7 additions & 0 deletions RELEASES.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,12 @@

## 0.9.6

*September 2025*

This new release contains several new features and bug fixes. Among the new features we have a new submodule `ot.batch` that contains batch parallel solvers for several OT problems including [Sinkhorn, Gromov-Wasserstein and Fused Gromov-Wasserstein](https://pythonot.github.io/master/auto_examples/backends/plot_ot_batch.html). This new submodule can be used to solve many independent OT problems in parallel on CPU or GPU. We also implemented a new Nystrom kernel approximation for the Sinkhorn solver that can be used to speed up the computation of the Sinkhorn divergence on large datasets. We also added new 1D solvers for [Linear circular OT](https://pythonot.github.io/master/auto_examples/sliced-wasserstein/plot_compute_wasserstein_circle.html) and new solvers for free support [OT barycenters with generic cost functions](https://pythonot.github.io/master/auto_examples/barycenters/plot_free_support_barycenter_generic_cost.html) and for [barycenters between Gaussian Mixture Models (GMMs)](https://pythonot.github.io/master/auto_examples/barycenters/plot_gmm_barycenter.html).

Finally we have updated the documentation to reflect the new generic API and reorganized the [examples gallery](https://pythonot.github.io/auto_examples/index.html).

#### New features
- Implement CG solvers for partial FGW (PR #687)
- Added feature `grad=last_step` for `ot.solvers.solve` (PR #693)
Expand Down Expand Up @@ -44,6 +50,7 @@
- Avoid raising unnecessary warnings in `ot.lp.solver_1d.binary_search_circle` (Issue #738)
- Avoid deprecation warning in `ot.lp.solver_1d.wasserstein_1d` (Issue #760, PR #761)


## 0.9.5

*November 2024*
Expand Down
Loading