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| author | Rémi Flamary <remi.flamary@gmail.com> | 2017-04-20 15:49:22 +0200 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2017-04-20 15:49:22 +0200 |
| commit | ad693e32e78df399ccaea07402613813a6c4d8db (patch) | |
| tree | 9043bab323b9078dbc5a67462dfb03b8bf15e4a8 /README.md | |
| parent | 26c128963fefaf7610fa6a1d48a676efc71dd137 (diff) | |
update readme
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 6 |
1 files changed, 3 insertions, 3 deletions
@@ -10,7 +10,7 @@ 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]. -* Entropic regularization OT solver with Sinkhorn Knopp Algorithm [2] and stabilized version [9][10]. +* Entropic regularization OT solver with Sinkhorn Knopp Algorithm [2] and stabilized version [9][10] with optional GPU implementation. * 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]. @@ -57,11 +57,11 @@ Note that for easier access the module is name ot instead of pot. Some sub-modules require additional dependences which are discussed below -* ot.dr (Wasserstein dimensionality rediuction) depends on autograd and pymanopt that can be installed with: +* *ot.dr* (Wasserstein dimensionality rediuction) depends on autograd and pymanopt that can be installed with: ``` pip install pymanopt autograd ``` -* ot.gpu (GPU accelerated OT) depends on cudamat that have to be installed with: +* *ot.gpu* (GPU accelerated OT) depends on cudamat that have to be installed with: ``` git clone https://github.com/cudamat/cudamat.git cd cudamat |