zuokuijun's Projects
PIV dataset
This is an unofficial implementation of the Point Transformer paper.
Implementation of the Point Transformer layer, in Pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)
open source for wechat-official-account (ID: PyDataLab)
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Graph Convolutional Networks in PyTorch
Fork of http://www.pyopt.org/ (python3 compatible)
Python Turbulence Detection Algorithm (PyTDA)
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
A Variational Autoencoder (VAE) implemented in PyTorch
Graph Neural Network Library for PyTorch
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
基于QT的深度学习平台,其中使用了opencv部署了yolov4算法
Google Rapid and Accurate Image Super Resolution
scikit-fmm is a Python extension module which implements the fast marching method.
Simple SDF mesh generation in Python
2D signed distance field
Data repository for seaborn examples
A Python library for calculating and displaying the skill of model predictions against observations.
Lightweight and scalable framework for Reinforcement Learning
标准格式软件著作权申请材料的LaTeX文档类
deep learning for image processing including classification and object-detection etc.
Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
Free version of synergy for ubuntu and windows
This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).