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2D Phase Retrieval code to reconstruct images from x-ray diffraction data
AIRS to CrIS ILS Conversion Tools
An experimental open-source attempt to make GPT-4 fully autonomous.
基于Tensorflow2开发的优秀扩展包及项目
科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能
A high-level toolbox for using complex valued neural networks in PyTorch
A method is based on a U-Net architecture and integrates two attention mechanisms: channel attention of squeeze-and-excitation (SE) blocks with residual connections, spatial attention of pyramid pooling module (PPM).
Fast Image Deconvolution with Incomplete Observations
deep learning enhanced phase retrieval based on different architectures using tensorflow 2.0
Few Shot Semantic Segmentation Papers
Code for ICCV 2017 paper "Learning to Push the Limits of Efficient FFT-based Image Deconvolution" (Jakob Kruse, Carsten Rother, and Uwe Schmidt)
Fast Fourier Transform Convolutional Neural Networks
Fresnel Diffraction S-FFT and T-FFT included
tensorflow2.x implementations of Generative Adversarial Networks.
Internal-External Learning via Graph Neural Network for Robust Image Super-Resolution
Keras-Tensorflow implementation of complex-valued convolutional neural networks
A pytorch version PhysenNet (seems fine)
Learning for computational imaging system made simple.
Python based codes for phase retrieval based on Transport-of-Intensity Equation formalism
Here is the repository for my postgraduate project. The main purpose of this project is to build mathematical models for the reconstruction of Terahertz signals. It is kind of Inverse Problem.
Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
Matlab code (and data obtained in lab) to extract the complex index of refraction and complex dielectric constante of some materials.
Complex_value_with_wavelet_and_attention
Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x
Repo for the sample implementation of the paper "TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation" on Keras
Total variation regularization-based Fourier ptychography
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.