| sidak/otfusion |
49 |
|
0 |
0 |
over 3 years ago |
0 |
|
4 |
|
Python |
| Model Fusion via Optimal Transport, NeurIPS 2020 |
| jeanfeydy/lddmm-ot |
34 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
mit |
Python |
| MICCAI 2017 Paper - Optimal Transport for Diffeomorphic Registration |
| Hermina/GOT |
32 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison" |
| prafull7/compmirrors |
32 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| LiqunChen0606/OT-Seq2Seq |
20 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
mit |
Python |
| code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport" |
| seba-1511/igt.pth |
17 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19 |
| BaoWangMath/EnResNet |
14 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| JasonAltschuler/OptimalTransportNIPS17 |
12 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Matlab |
| Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Altschuler, Jonathan Weed, and Philippe Rigollet. Full paper available at: https://papers.nips.cc/paper/6792-near-linear-time-approximation-algorithms-for-optimal-transport-via-sinkhorn-iteration. |
| hungpham2511/rapid-transport |
11 |
|
0 |
0 |
about 7 years ago |
0 |
|
2 |
|
Python |
| igfuw/libmpdataxx |
11 |
|
0 |
0 |
about 2 years ago |
0 |
|
60 |
other |
C++ |
| libmpdata++ - a library of parallel MPDATA-based solvers for systems of generalised transport equations |
