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author | Rémi Flamary <remi.flamary@gmail.com> | 2017-09-15 14:25:28 +0200 |
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committer | Rémi Flamary <remi.flamary@gmail.com> | 2017-09-15 14:25:28 +0200 |
commit | ab121f134c22377209c818c1d9b576e0b3b9a9d3 (patch) | |
tree | f9e8bab94a87d11b435473d696a49c136b6d803b | |
parent | effa765b0f3b2abd22d5f97ff9206b5011c3e3a0 (diff) |
update releases
-rw-r--r-- | RELEASES.md | 41 |
1 files changed, 36 insertions, 5 deletions
diff --git a/RELEASES.md b/RELEASES.md index f00e704..89cc29b 100644 --- a/RELEASES.md +++ b/RELEASES.md @@ -1,5 +1,36 @@ # POT Releases +## 0.4 Community edition + +* Add gromov Wasserstein solver and Gromov Barycenters (PR #23) +* emd and emd2 can now return dual variables (PR #29) + +## 0.3.1 +*11 Jul 2017* + +* Correct bug in emd on windows + +## 0.3 Summer release +*7 Jul 2017* + +* emd* and sinkhorn* are now performed in parallel for multiple target distributions +* emd and sinkhorn are for OT matrix computation +* emd2 and sinkhorn2 are for OT loss computation +* new notebooks for emd computation and Wasserstein Discriminant Analysis +* relocate notebooks +* update documentation +* clean_zeros(a,b,M) for removimg zeros in sparse distributions +* GPU implementations for sinkhorn and group lasso regularization + + +## V0.2 +*7 Apr 2017* + +* New dimensionality reduction method (WDA) +* Efficient method emd2 returns only tarnsport (in paralell if several histograms given) + + + ## V0.1.11 New years resolution *5 Jan 2017* @@ -33,10 +64,10 @@ *28 Oct 2016* It provides the following solvers: -* OT solver for the linear program/ Earth Movers Distance [1]. -* Entropic regularization OT solver with Sinkhorn Knopp Algorithm [2]. -* Bregman projections for Wasserstein barycenter [3] and unmixing [4]. -* Optimal transport for domain adaptation with group lasso regularization [5] -* Conditional gradient [6] and Generalized conditional gradient for regularized OT [7]. +* OT solver for the linear program/ Earth Movers Distance. +* Entropic regularization OT solver with Sinkhorn Knopp Algorithm. +* Bregman projections for Wasserstein barycenter [3] and unmixing. +* Optimal transport for domain adaptation with group lasso regularization +* Conditional gradient and Generalized conditional gradient for regularized OT. Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder. |