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2dphaseretrieval

2D Phase Retrieval code to reconstruct images from x-ray diffraction data

airs_deconv

AIRS to CrIS ILS Conversion Tools

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-tensorflow2

基于Tensorflow2开发的优秀扩展包及项目

chatgpt_academic

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

complexpytorch

A high-level toolbox for using complex valued neural networks in PyTorch

daru-net-keras

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).

deconvolutionincompleteobs

Fast Image Deconvolution with Incomplete Observations

deep_learning_for_phase_retrieval_tf2

deep learning enhanced phase retrieval based on different architectures using tensorflow 2.0

few-shot-semantic-segmentation-papers

Few Shot Semantic Segmentation Papers

fourier-deconvolution-network

Code for ICCV 2017 paper "Learning to Push the Limits of Efficient FFT-based Image Deconvolution" (Jakob Kruse, Carsten Rother, and Uwe Schmidt)

fouriercnn

Fast Fourier Transform Convolutional Neural Networks

fresnel-diffraction

Fresnel Diffraction S-FFT and T-FFT included

gan-keras

tensorflow2.x implementations of Generative Adversarial Networks.

gnnsr

Internal-External Learning via Graph Neural Network for Robust Image Super-Resolution

keras-complex

Keras-Tensorflow implementation of complex-valued convolutional neural networks

keras-metalearning

machine_learing_study

physennet-pytorch-version-

A pytorch version PhysenNet (seems fine)

physics_based_learning

Learning for computational imaging system made simple.

pytie

Python based codes for phase retrieval based on Transport-of-Intensity Equation formalism

reconstruction-methods-for-terahertz-signals

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.

src

Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).

terahertzspectroscopy

Matlab code (and data obtained in lab) to extract the complex index of refraction and complex dielectric constante of some materials.

test

Complex_value_with_wavelet_and_attention

tf_geometric

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

transunet

Repo for the sample implementation of the paper "TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation" on Keras

tvfp

Total variation regularization-based Fourier ptychography