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A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
A curated list of awesome TikZ documentations, libraries and resources
Python library for differentiable wave optics simulations with PyTorch.
A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Tim A. Wheeler
Jupyter notebooks associated with the Algorithms for Optimization textbook
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Code for A Programmer's Introduction to Mathematics
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Authoring Books and Technical Documents with R Markdown
Code implementation of End-2-End Enhances Pyramid Wavefront Sensor
Files relating to pyramid wavefront sensor simulation.
This is the simulation code for elfpie
Computes intensity and OPD images from QLSI interferograms (Quadriwave Lateral Shearing Interferometry)
A Shack-Hartmann simulator (Matlab)
COLMAP - Structure-from-Motion and Multi-View Stereo
Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)
juno is a simulation package for optical system design using full wave propagation.
A replication/re-implementation of Ghiglia, Dennis C., and Louis A. Romero. __"Robust two-dimensional weighted and unweighted phase unwrapping that uses fast transforms and iterative methods."__ [J…
Toy code implementation of shrink wrap, original work by: Marchesini, Stefano, et al. "X-ray image reconstruction from a diffraction pattern alone." Physical Review B 68.14 (2003): 140101.