Popular GitHub Repositories for Permutation

Adaptation of the merging method described in the paper - Git Re-Basin: Merging Models modulo Permutation Symmetries (https://arxiv.org/abs/2209.04836) for Stable Diffusion

Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).

[CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch

【AAAI2024】TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation

[AAAI '23] PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor

This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"

Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"

Lorentz group equivariant autoencoders based on Lorentz Group Network

Neural network that has been trained to detect temporal correlation and distinguish chaotic from stochastic signals

Machine learning model to forecast food security indicators using historical data and external factors like macroeconomics, market prices, weather, and conflicts.

Implementation of a Set Transformer in JAX from the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks' by Lee et al. (2019)

A novel approach for performing non-parametric two-way ANOVA using a bootstrap permutation method. Built for a student project.

Machine learning approach for feature selection and uncertainty analysis in wastewater treatment plant biogas production. Explores advanced ML techniques for optimizing renewable energy processes.

Developed a machine learning model using scikit-learn, implementing ensemble techniques, PCA, correlation analysis, and extensive feature engineering. The goal was to classify documents as either human-generated (0) or AI-generated (1) based on document embeddings, word count, and punctuation.