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Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Repetition code of the model for the paper "EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks" in pytorch
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
This is the official pytorch implementation for paper: IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
支持百度竞赛数据的中文事件抽取,支持ace2005数据的英文事件抽取,本人将苏神的三元组抽取算法中的DGCNN改成了事件抽取任务,并将karas改成了本人习惯使用的pytorch,在数据加载处考虑了各种语言的扩展
Dilate Gated Convolutional Neural Network For Machine Reading Comprehension
Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).
Code and Data for the paper "LPF-Defense: 3D Adversarial Defense based on Frequency Analysis", PLoS ONE
PLEASE USE THE NEW REPO https://github.com/salehjg/DeepPoint-V2-FPGA . The deprecated in-order-queue-based repository for "DGCNN on FPGA: Acceleration of The Point CloudClassifier Using FPGAs".
Codes for the Point Cloud Analysis Project (IPL Lab, Sharif UT)
Prototype of trackster tagging and smoothing for CMS HGCAL reconstructions at CERN.
This repository is a informal chainer version of the code implemented in https://github.com/WangYueFt/dgcnn.