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Neural network-based preprocessing of MRI data: Prepping brain images in seconds 🔥
This is a warehouse for TransNext-pytorch-model, can be used to train your image datasets for classification tasks.s
[CVPR 2024] Code release for TransNeXt model
Gray matter segmentator implementation based on SPM and CAT12 for Matlab
📒《统计学习方法-李航》200页PDF手推公式细节讲解，包含详细的目录以及R语言代码实现，可结合《统计学习方法》提高学习效率，适合机器学习、深度学习初学者。
📖 R 语言数据分析实战（写作中） Data Analysis in Action Using R
R 语言数据科学导论 | Data Science Introduction with R
⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀
🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)
Example download scripts for the OASIS3 project
A Pytorch implementation of the optimal transport kernel embedding
Neuroimaging based brain age prediction using 3D Dense-net
Open-Source Python Software for Functional MRI Analysis
主要存储Datawhale组队学习中“自然语言处理”方向的资料。
Brain structure-function modelling (DTI & fMRI process)
Awesome graph neural networks for brain network learning. Collections of related research papers with implementations, commonly used datasets and tools. We also invite researchers interested in bra…
AssemblyNet: 3D Whole Brain MRI segmentation pipeline
A cross platform Bluetooth Low Energy Client for Python using asyncio
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
[TIM 2024] The official implementation for the paper "Affective EEG-based Person Identification with Continual Learning"
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Domain adaptation made easy. Fully featured, modular, and customizable.