xiaowei_zhang's repositories
book
book
complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
Computer-Generated-Hologram
数字全息术与计算机生成全息的计算与仿真框架【This library introduces the current production process of computer holography, and uses MATLAB and Python to record and reproduce holograms. In the future, I will build a computer hologram simulation framework or a simulation application program.】
deep-image-prior
Image restoration with neural networks but without learning.
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
DeepFocus
DeepFocus: Learned Image Synthesis for Computational Displays
Free-shared-Spatiotemporal-method-of-remote-sensing-
spatiotemporal fusion method
golearn
Machine Learning for Go
Holo-encoder
High-speed computer-generated holography (CGH) using autoencoder-based deep neural network
HoloLib-MATLAB
计算机生成全息图(CGH)MATLAB函数库
IDT-using-Annular-Illumination
This is the MATLAB Implementation for Annular Illumination Intensity Diffraction Tomography (aIDT).
Image-Fusion
Deep Learning-based Image Fusion: A Survey
ImageProcessing-Python
该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。
ImageProcessing100Wen
「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
kubernetes
Production-Grade Container Scheduling and Management
Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
neural-holography
Code and data for Neural Holography
Physics-Informed-Neural-Networks
Investigating PINNs
PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
prysm
physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing...
python-microscopy
The python-microscopy environment - an open-source package for light microscopy
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Trainable_Segmentation
Fiji library to perform image segmentation based on the Weka learning schemes
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
vscode-go
Go extension for Visual Studio Code