removed ot bar contribs -> only o.lp reorganisation in this PR

README.md

@@ -55,7 +55,6 @@ POT provides the following generic OT solvers (links to examples):
 * [Co-Optimal Transport](https://pythonot.github.io/auto_examples/others/plot_COOT.html) [49] and
 [unbalanced Co-Optimal Transport](https://pythonot.github.io/auto_examples/others/plot_learning_weights_with_COOT.html) [71].
 * Fused unbalanced Gromov-Wasserstein [70].
-* OT Barycenters for generic transport costs [].
 
 POT provides the following Machine Learning related solvers:
 
@@ -392,7 +391,3 @@ Artificial Intelligence.
 [72] Thibault Séjourné, François-Xavier Vialard, and Gabriel Peyré (2021). [The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation](https://proceedings.neurips.cc/paper/2021/file/4990974d150d0de5e6e15a1454fe6b0f-Paper.pdf). Neural Information Processing Systems (NeurIPS).
 
 [73] Séjourné, T., Vialard, F. X., & Peyré, G. (2022). [Faster Unbalanced Optimal Transport: Translation Invariant Sinkhorn and 1-D Frank-Wolfe](https://proceedings.mlr.press/v151/sejourne22a.html). In International Conference on Artificial Intelligence and Statistics (pp. 4995-5021). PMLR.
-
-[74] Tanguy, Eloi and Delon, Julie and Gozlan, Nathaël (2024). [Computing
-Barycentres of Measures for Generic Transport
-Costs](https://arxiv.org/abs/2501.04016). arXiv preprint 2501.04016 (2024)

RELEASES.md

@@ -6,8 +6,7 @@
 - Implement CG solvers for partial FGW (PR #687)
 - Added feature `grad=last_step` for `ot.solvers.solve` (PR #693)
 - Automatic PR labeling and release file update check (PR #704)
-- Implement fixed-point solver for OT barycenters with generic cost functions
-  (generalizes `ot.lp.free_support_barycenter`). (PR #714)
+- Moved functions from `ot/lp/__init__.py` to separate modules. (PR #714)
 
 #### Closed issues
 - Fixed `ot.mapping` solvers which depended on deprecated `cvxpy` `ECOS` solver (PR #692, Issue #668)