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author | Rémi Flamary <remi.flamary@gmail.com> | 2018-03-21 11:03:06 +0100 |
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committer | Rémi Flamary <remi.flamary@gmail.com> | 2018-03-21 11:03:06 +0100 |
commit | 7681db5c19817cfd003cea9ffdd95fedb9b00650 (patch) | |
tree | a8237e5d305db8b7c893e9ae8d779c2bd773e480 /README.md | |
parent | 69c7d1cb64a5628c69a3c1533991741bcd91f96b (diff) |
update reame
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 6 |
1 files changed, 3 insertions, 3 deletions
@@ -13,14 +13,14 @@ This open source Python library provide several solvers for optimization problem It provides the following solvers: -* OT solver for the linear program/ Earth Movers Distance [1]. +* OT Network Flow solver for the linear program/ Earth Movers Distance [1]. * Entropic regularization OT solver with Sinkhorn Knopp Algorithm [2] and stabilized version [9][10] with optional GPU implementation (required cudamat). * 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]. -* Joint OT matrix and mapping estimation [8]. +* Linear OT [14] and Joint OT matrix and mapping estimation [8]. * Wasserstein Discriminant Analysis [11] (requires autograd + pymanopt). -* Gromov-Wasserstein distances and barycenters [12] +* Gromov-Wasserstein distances and barycenters ([13] and regularized [12]) Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder. |