Pseudo-labeling for tabular data
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Updated
Jun 18, 2024 - Jupyter Notebook
Pseudo-labeling for tabular data
Optimal transport algorithms for Julia
Computational optimal transport
Crowd Counting: A view around state-of-the-art
[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
🦆 A simple sinkhorn algorithm to solve optimal transport problem writen in Matlab
Python Implementation of "Fast Computation of Wasserstein Barycenters"
Python translation of Cuturi's MATLAB code for Sinkhorn Optimal Transport.
Sparse simplex projection-based Wasserstein k-means
Code for "A MFG Model for the Dynamics of Cities" (Barilla, Carlier, Lasry 2021)
The implementation for the paper "On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm".
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