Lists (4)
Stars
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
PDEBench: An Extensive Benchmark for Scientific Machine Learning
A differentiable PDE solving framework for machine learning
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
Lightweight, general, scalable C++ library for finite element methods
🤖 Places where you can learn robotics (and stuff like that) online 🤖
A General Approach to Seismic Inversion Problems using Automatic Differentiation
Automatic Differentiation Library for Computational and Mathematical Engineering
A list of awesome open-source acoustic packages and resources.
An End-to-end Workflow for Adjoint Full Seismic Waveform Inversions
Elastic Full-Waveform Inversion Integrated with PyTorch
Full Waveform Inversion for Transmission Ultrasound Computed Tomography with Transmitting and Receiving Linear Array Transducers based on the Angular Spectrum Method
Official reproducible material for SiameseFWI: A Deep Learning Network for Enhanced Full Waveform Inversion
An Automatic Differentiation-based Waveform Inversion Framework Implemented in PyTorch.
PyTorch implementation of MoDL: Model Based Deep Learning Architecture for Inverse Problems
MoDL: Model-Based Deep Learning Architecture for Inverse Problems
Source code for our recent book entitled Model-Based Deep Learning
For samples codes of the deep unfolding book.
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays
We present deep unfolding for BISTA-type algorithms, as well as Analytical Learned Block ISTA.
ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing, ICME2021 [PyTorch Code]
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
[NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*, Jialin Liu*, Zhangyang Wang and Wotao Yin.
A modelling and optimisation framework for medical ultrasound
A curated list of awesome self-supervised methods