wuji (joynny)

joynny

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Location:xi'an

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wuji's starred repositories

KBNet

KBNet: Kernel Basis Network for Image Restoration

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NAFNet

The state-of-the-art image restoration model without nonlinear activation functions.

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Surface-Defect-Detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

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sygil-webui

Stable Diffusion web UI

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Zernike-Polynomials-MATLAB

Set of functions for 1) quickly generating Zernike polynomials and 2) performing least-squares fits of images using Zernike polynomials.

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OOMAO

Object-Oriented, Matlab & Adaptive Optics

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semantic-segmentation

SOTA Semantic Segmentation Models in PyTorch

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STudy

时空预测模型PyTorch复现

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zernike

Python code for Zernike polynomials

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Basic_PredRNN_Seq2seq

从Convlstm2D的基础上改编: https://github.com/ndrplz/ConvLSTM_pytorch 可用于雷达回波等短临预报领域,采用模仿Dr.SXJ的Seq2seq结构.

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e3d_lstm

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

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MIM_Pytorch

Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics

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convlstmgru

Pytorch implementations of ConvLSTM and ConvGRU modules with examples

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PredNet-ConvGRU

This is an PyTorch implementation of PredNet paper.

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ConvGRU-pytorch

Convolutional GRU

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ConvLSTM-PyTorch

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

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ScatterNet

Code for all work presented in Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks

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DnCNN

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

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FFDNet

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

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FSIM-FSIMc-matlab

Batch image calculation FSIM/FSIMc-matlab

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DeepAerialMatching_pytorch

Official Implementation of Deep Aerial Image Matching using PyTorch

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yolo3-pytorch

这是一个yolo3-pytorch的源码,可以用于训练自己的模型。

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PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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deep-learning-from-scratch

『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)

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ConvLSTM-image-prediction

Predict pictures based on ConvLSTM

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scilab

Numerical computing software. This is just a mirror! https://wiki.scilab.org/How%20to%20contribute%20to%20Scilab to contribute

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neural-enhance

Super Resolution for images using deep learning.

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deeplearningbook-chinese

Deep Learning Book Chinese Translation

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