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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.

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".

orthogonal_rnn

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

sample

spectre_release

Analyzing deviation from orthogonality in RNNs

study

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