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PythonOT/POT
2.6K
POT : Python Optimal Transport
Python
#domain-adaptation#emd#gromov-wasserstein#machine-learning#numerical-optimization#optimal-transport#ot-mapping-estimation#ot-solver#pot#python#sinkhorn-divergences#sinkhorn-knopp#wasserstein#wasserstein-barycenter#wasserstein-barycenters#wasserstein-discriminant-analysis
DistributedDataParallel 2 months ago
help wanted Feature request
PythonOT/POT
2.6K
POT : Python Optimal Transport
Python
#domain-adaptation#emd#gromov-wasserstein#machine-learning#numerical-optimization#optimal-transport#ot-mapping-estimation#ot-solver#pot#python#sinkhorn-divergences#sinkhorn-knopp#wasserstein#wasserstein-barycenter#wasserstein-barycenters#wasserstein-discriminant-analysis
FIX sphinx warnings 2 months ago
help wanted documentation
PythonOT/POT
2.6K
POT : Python Optimal Transport
Python
#domain-adaptation#emd#gromov-wasserstein#machine-learning#numerical-optimization#optimal-transport#ot-mapping-estimation#ot-solver#pot#python#sinkhorn-divergences#sinkhorn-knopp#wasserstein#wasserstein-barycenter#wasserstein-barycenters#wasserstein-discriminant-analysis
POT sinkhorn_stabilized and sinkhorn_epsilon_scaling methods for sinkhorn getting stuck 2 months ago
AI Summary: The user reports that the `sinkhorn_epsilon_scaling` method from the POT library consistently gets stuck at a specific error value (1.999996e-03) after an initial drop, preventing further convergence. This issue occurs when computing Sinkhorn distances between two datasets of 100 images, and persists across various regularization parameters and different datasets of the same size.
Complexity:
3/5
bug help wanted
PythonOT/POT
2.6K
POT : Python Optimal Transport
Python
#domain-adaptation#emd#gromov-wasserstein#machine-learning#numerical-optimization#optimal-transport#ot-mapping-estimation#ot-solver#pot#python#sinkhorn-divergences#sinkhorn-knopp#wasserstein#wasserstein-barycenter#wasserstein-barycenters#wasserstein-discriminant-analysis