Pinned Repositories
actions-openwrt-helloworld
Actions使用Lean's lede源码编译含helloworld服务固件
C-background-development-interview-experience
C++后台开发面试经验
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
expRNN
Optimization with orthogonal constraints and on general manifolds
geom-gcn
GORU-tensorflow
Gated Orthogonal Recurrent Unit implementation in tensorflow
HanyuZhou-s_Treasure
hello-world-interview
hello world interview（后端）
Laravel
Studying laravel.
xy1999729's Repositories
xy1999729/actions-openwrt-helloworld
Actions使用Lean's lede源码编译含helloworld服务固件
xy1999729/C-background-development-interview-experience
C++后台开发面试经验
xy1999729/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
xy1999729/dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
xy1999729/expRNN
Optimization with orthogonal constraints and on general manifolds
xy1999729/geom-gcn
xy1999729/GORU-tensorflow
Gated Orthogonal Recurrent Unit implementation in tensorflow
xy1999729/HanyuZhou-s_Treasure
xy1999729/hello-world-interview
hello world interview（后端）
xy1999729/Laravel
Studying laravel.
xy1999729/NN-CUDA-Example
Several simple examples for popular neural network toolkits calling custom CUDA operators.
xy1999729/OFFtoH5
Convert ModelNet .OFF files to .h5 files for PointCoud project
xy1999729/openwrt
This repository is a mirror of https://git.openwrt.org/openwrt/openwrt.git It is for reference only and is not active for check-ins or for reporting issues. We will continue to accept Pull Requests here. They will be merged via staging trees then into openwrt.git. All issues should be reported at: https://bugs.openwrt.org
xy1999729/Orthogonal-Convolutional-Neural-Networks
Code for paper "Orthogonal Convolutional Neural Networks".
xy1999729/Orthogonal_RNN
xy1999729/Orthogonality-in-CNNs
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
xy1999729/OthogonalWN
This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonality constraints over Steifel manifold in deep neural networks (arXiv:1709.06079 )
xy1999729/PlotNeuralNet
Latex code for making neural networks diagrams
xy1999729/point-transformer
This is the official repository of the original Point Transformer architecture.
xy1999729/PointStack
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling
xy1999729/sample
xy1999729/spectre_release
Analyzing deviation from orthogonality in RNNs
xy1999729/Study
xy1999729/xy1999729.github.io