Zhengyu Li's repositories
actions-openwrt-helloworld
Actions使用Lean's lede源码编译含helloworld服务固件
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
GORU-tensorflow
Gated Orthogonal Recurrent Unit implementation in tensorflow
hello-world-interview
hello world interview（后端）
Laravel
Studying laravel.
NN-CUDA-Example
Several simple examples for popular neural network toolkits calling custom CUDA operators.
OFFtoH5
Convert ModelNet .OFF files to .h5 files for PointCoud project
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
Orthogonal-Convolutional-Neural-Networks
Code for paper "Orthogonal Convolutional Neural Networks".
Orthogonality-in-CNNs
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
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 )
PlotNeuralNet
Latex code for making neural networks diagrams
point-transformer
This is the official repository of the original Point Transformer architecture.
PointStack
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling
spectre_release
Analyzing deviation from orthogonality in RNNs