Tang... (jukebox333)

jukebox333

Geek Repo

Company:Northwestern Polytechnical University

Location:Xi'an.CHINA

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Tang...'s repositories

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BraVL

Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"

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DataStructure-BeautyOfAlgorithm

《数据结构与算法之美》的学习笔记和python代码实现

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deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

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DGCN

The code of paper "A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks, IEEE Transactions on Cybernetics".

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DGCNN

Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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DS-DDPM

Implementation of Domain Specific Denoising Diffusion Probabilistic Models for Brain Dynamics/EEG Signals

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dynamic_brain_graph_structure_learning

Minimal PyTorch implementation of Dynamic Brain Graph Structure Learning (Campbell 2022)

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eeg-gcnn

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

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STGCN

The PyTorch version of STGCN.

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EEG-DL

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

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eeg_encoding

Using DNNs to build encoding models of EEG visual responses.

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gnn4lp

gnn for link prediction,图神经网络用于链接预测。

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Graph-Learning

Graph model implementation

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LGG

[TNNLS-2023] This is the PyTorch implementation of LGGNet.

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lihang-code

《统计学习方法》的代码实现

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machine-learning-course

浙江大学胡浩基《机器学习》代码

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MegaCRN

[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

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MVS-GCN

The official implementation of MVS-GCN

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paper-reading

深度学习经典、新论文逐段精读

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pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

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Shu_Dataset

Scripts de procesamiento y experimentos de la base de datos.

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stagin

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

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T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

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Time-Series-Library

A Library for Advanced Deep Time Series Models.

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zihao_course

同济子豪兄的公开课

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