An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks

A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the results on word embeddings.

Tensorflow implementation of optimal transport (OT) with Sinkhorn algorithm.

Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"

Optimal Transport and Optimization related experiments.

Douglas-Rachford Splitting for Optimal Transport

Implementation of the paper "Anticipation-Free Training for Simultaneous Machine Translation"

A dedicated convenient repo for different Music Transformers implementations (Reformer/XTransformer/Sinkhorn/etc)

Code for the paper Geodesic Sinkhorn for Fast and Accurate Optimal Transport on Manifolds.

[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'

Library for solving variational mean-field games using optimal transport and the Sinkhorn algorithm

A neural parser for typelogical grammars based on Sinkhorn networks and Linear Logic Proof Nets.

Code for "A MFG Model for the Dynamics of Cities" (Barilla, Carlier, Lasry 2021)

JAX implementation of DETR

This project enhances text encoders' global descriptors by implementing advanced aggregation techniques from computer vision literature, to improve sentence-level representations. We utilize models such as BERT, RoBERTa, and CLIP, and benchmark performance using datasets like MTEB, SemEval24 and Quora Question Pairs.

Code for some of the algorithms used in Optimal Transport like subspace alignment and sinkhorn algorithms