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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Scikit-learn compatible estimation of general graphical models
A python toolbox to make connectome-based predictions using BrainNetCNN.
Graph Neural Network Library for PyTorch
Graph Data Augmentation Library for PyTorch Geometric
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✨基于 3D 卷积神经网络(CNN)的阿尔兹海默智能诊断 Web 应用 Alzheimer's Intelligent Diagnosis Web Application based on 3D Convolutional Neural Network and the ADNI Dataset ✨ (with README in English) 🚩：图像识别可视化界面，快速部署深度学习模型…
E6893 Final Project for ja3130, mn2769, and hz2441 (Project ID: 201712-18)
An attempt to diagnose Alzheimer's disease earlier
A TensorFlow Implementation of the Transformer: Attention Is All You Need
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Scripts for our papers. Readers can check, replicate or make use of the scripts in their future studies.
Minimal scripts available for predictions on multiple datasets
An SVM classifier trained to extract motion-specific information from fMRI scans of suppressed MT and V1 cortices.
Nilearn tutorials on Neuroimaging data
Using machine learning techniques to predict the onset of Alzheimer's disease for participants in the ADNI study
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
Pytorch implementation of TPA-GAN & PT-DCN on ADNI （IEEE-JBHI2021）