dixinluo Goto Github PK

2016-icml-gromov-wasserstein

Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.

alexandermichels.github.io

My personal website using the al-folio theme.

awesome-3d-reconstruction-papers

A collection of 3D reconstruction papers in the deep learning era.

casconet

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

coot

CO-Optimal Transport

deep-learning-notes

Experiments with Deep Learning

dixinluo.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

graph-optimal-transport

Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"

graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

hawkes-process-toolkit

A toolbox of Hawkes processes

jiuzhang

notears

DAGs with NO TEARS: Continuous Optimization for Structure Learning

nphc

NPHC

pot

POT : Python Optimal Transport

reading_list

Paper preview on group meeting

relational-autoencoders

Learning Autoencoders with Relational Regularization

set_transformer

Pytorch implementation of set transformer

sgwb-graphon

Learning Graphons via Structured Gromov-Wasserstein Barycenters

shinjiwlab.github.io

temporal-action-alignment-usfgw

"Weakly-Supervised Temporal Action Alignment Driven by Unbalanced Spectral Fused Gromov-Wasserstein Distance"

thesis

Differentiable Optimization-Based Modeling for Machine Learning

tiny_python_projects

Code for Tiny Python Projects (Manning, 2020, ISBN 1617297518). Learning Python through test-driven development of games and puzzles.

vancir.github.io

blog based on jekyll al-folio theme