Popular GitHub Repositories for Magnetic Laplacian

Seamlessly integrate LLMs as Python functions

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.

An Interactive Approach to Understanding Deep Learning with Keras

Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning

A Library of TensorFlow Operators for Computational MRI

SensorAndAi is an android application which will give you the complete information about all the sensors and some basic information about artificial intelligence.This application will tell you about the use and implementation of the sensor and artificial intelligence.This app will show you how sensor and artificial intelligence is used in any android project. It will also give you all the updates related to sensor and artificial intelligence.

Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging

[ICML 2025 GenBio Workshop] Official Implementation for "Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentials"

Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. ???

In this repo, we explore Microsoft’s MagneticOne multi-agent system. It includes a workflow summary, a basic diagram, and a draft implementation in LangGraph. Contributors are welcome to test and improve this adaptation from Autogen to LangGraph for another community-driven solution.

Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.

Official repository for "Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation"

variational Bayesian algorithm for Brain MR image Segmentation

Code for the BMVC'21 Oral paper "Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints Invariance"

A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.

Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"