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.

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 filte…

Image restoration with neural networks but without learning.

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

OpenMMLab course index and stuff

Investigating PINNs

A pupil in the computer world.(Felix Fu)

Physical Optics Propagation in Python

Fundamentals of Radio Interferometry and Aperture Synthesis Book

Holotorch is an optimization framework for differentiable wave-propagation written in PyTorch

Code for Lensless Learning Paper

DeepRED: Deep Image Prior Powered by RED

Learning for computational imaging system made simple.

Code for A Bayesian Perspective on the Deep Image Prior (CVPR 2019)

Learning the experimental design for Fourier Ptychographic Microscopy

A little walk-trough different types of the block with their corresponding implementation in PyTorch

Python implementation of ptylab

Computer-generated holography (CGH) is the method of digitally generating holographic interference patterns

Information-Driven Design of Imaging Systems

Hardware control and image analysis code for Fourier ptychography.