NeuralOptimalTransport and KernelNeuralOptimalTransport
The tools are ecosystem siblings, where B is a specific version or extension of A, building upon the core concepts of "Neural Optimal Transport" by incorporating kernel methods as detailed in the "Kernel Neural Optimal Transport" paper, likely by the same author.
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
15/25
Maintenance
0/25
Adoption
7/25
Maturity
16/25
Community
6/25
Stars: 228
Forks: 25
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 34
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About NeuralOptimalTransport
iamalexkorotin/NeuralOptimalTransport
PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
About KernelNeuralOptimalTransport
iamalexkorotin/KernelNeuralOptimalTransport
PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)
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