Code for the paper: Path-conditioned training: a principled way to rescale ReLU neural networks

Implementation of our ICML2023 paper "Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals"

This is a python package for data clustering using the tangles algorithmic framework: Clustering with Tangles -- Algorithmic Framework and Theoretical Guarantees (JMLR)

Python package for multi-view machine learning

Benchmark datasets, data loaders, and evaluators for graph machine learning

Must-read papers on graph neural networks (GNN)

Paper list for equivariant neural network

Download and create a subset of global country-average temperature data from Berkeley Earth

Positive-unlabeled learning with Python.

Open Source Routing Machine - C++ backend

Douglas-Rachford Splitting for Optimal Transport

Scikit-learn compatible estimation of general graphical models

A Python package for General Graphical Lasso computation

REGAIN (Regularised Graphical Inference)

PYCLE: a Python Compressive Learning toolbox

Code for paper "A Swiss Army Knife for Minimax Optimal Transport"

Python numerical optimization toolbox

Graph Signal Processing in Python

A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning…

Integrates the Stockfish chess engine with Python

Python Stockfish Chess Engine wrapper

The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

Solution quadratic assign problem via LS(local search), ILS(iterated local search), GLS(guided local search)

torch-optimizer -- collection of optimizers for Pytorch