0.2.9: new initializations for Sinkhorn, LR Sinkhorn and LR GW (including k-means++ implementations), entropic map, faster Sinkhorn implicit diff

What's Changed

• Feature/kmeans++ by @michalk8 in #120
• Feature/ Introduce initialization methods for Sinkhorn by @JTT94 in #98
• Pin sphinx-book-theme>=0.3.3 by @michalk8 in #123
• Additional Docstrings and Comments to NeuralDual-Module by @bunnech in #122
• Allow k-means to be differentiable when using while loop by @michalk8 in #130
• Feature/graph geometry by @michalk8 in #126
• LR Sinkhorn improvements by @meyerscetbon in #111
• Refactor GW initialization by @michalk8 in #133
• Change LR initializer to random by @michalk8 in #134
• Generalized k-means initialization for LR Sinkhorn/Gromov-Wasserstein by @michalk8 in #135
• Switch to one linear system per implicit differentiation by @ersisimou in #136
• Feature/disable warm start by @michalk8 in #138
• Add entropic map by @michalk8 in #142

Full Changelog: 0.2.8...0.2.9