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Chenxy225's Projects

braingnn_pytorch icon braingnn_pytorch

BrainGNN：使用了池化TopK中的重要度分数作为节点显著脑区的批判标准

deep-learning-interview-book icon deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

gcn-sz-1 icon gcn-sz-1

Discriminative analysis of schizophrenia patients using graph convolutional networks: A combined multimodal MRI and connectomics analysis

graph-network-explainability icon graph-network-explainability

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

it_book icon it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

multi-head-gagnn icon multi-head-gagnn

用于识别个体水平大脑功能网络时空模式的“多头引导注意力图神经网络模型”

pytorch-grad-cam icon pytorch-grad-cam

高级AI解释计算机视觉。许多类激活映射方法在Pytorch中实现的CNNs和Vision transformer。示例和应用的分类，目标检测，分割，解释图像相似性和更多。

sagpool icon sagpool

Official PyTorch Implementation of SAGPool - ICML 2019

snap icon snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

te-hi-gcn icon te-hi-gcn

An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis

torch-cam icon torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

train_custom_dataset icon train_custom_dataset

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

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