Alternatives and similar repositories for physics_based_learning

Users that are interested in physics_based_learning are comparing it to the libraries listed below

• MLI-lab / overparameterized_convolutional_generators
  ☆16Updated 5 years ago
• VLOGroup / tdv
  Total Deep Variation Regularizer
  ☆51Updated 4 years ago
• reinhardh / supplement_deep_decoder
  ☆98Updated 6 years ago
• tum-vision / learn_prox_ops
  Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
  ☆47Updated 5 years ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 4 years ago
• kellman / LearnedDesignFPM
  Learning the experimental design for Fourier Ptychographic Microscopy
  ☆48Updated 5 years ago
• HeSunPU / DPI
  Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
  ☆37Updated 3 years ago
• vegarant / Invfool
  Code related to the paper "On instabilities of deep learning in image reconstruction - Does AI come at a cost?"
  ☆35Updated 4 months ago
• Biomedical-Imaging-Group / GlobalBioIm
  A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging
  ☆88Updated 2 months ago
• utcsilab / deepinpy
  Deep inverse problems in Python
  ☆60Updated 2 months ago
• VLOGroup / denoising-variationalnetwork
  Implementation of the variational network for denoising.
  ☆17Updated 2 years ago
• lanl / scico
  Scientific Computational Imaging COde
  ☆139Updated last week
• utsav-akhaury / PnP-ADMM
  Image Deconvolution with Plug-and-Play ADMM using an X-Dense-U-Net denoiser
  ☆11Updated last month
• gbuzzard / PnP-MACE
  Utilities and methods to use the PnP algorithm and MACE framework on image reconstruction problems. Includes demos for superresolution a…
  ☆19Updated last year
• mughanibu / Deep-Learning-for-Inverse-Problems
  This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low…
  ☆41Updated 8 years ago
• Waller-Lab / MultiWienerNet
  ☆47Updated 3 years ago
• wustl-cig / DeCAF
  ☆52Updated 2 years ago
• svvenkatakrishnan / plug-and-play-priors
  An algorithmic framework to experiment with different image priors via denoising algorithms for inverse problems.
  ☆28Updated 8 years ago
• GaryMataev / DeepRED
  DeepRED: Deep Image Prior Powered by RED
  ☆67Updated 5 years ago
• VLOGroup / primal-dual-toolbox
  GPU-based Total (Generalized) Variation implementation for various applications, with Python and Matlab wrappers.
  ☆55Updated 6 years ago
• mmuckley / torchkbnufft
  A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.
  ☆239Updated 10 months ago
• Waller-Lab / LenslessLearning
  Code for Lensless Learning Paper
  ☆69Updated 4 years ago
• Waller-Lab / DiffuserCam-Tutorial
  Build-your-own DiffuserCam tutorial
  ☆62Updated 6 years ago
• davevanveen / compsensing_dip
  Compressed sensing with deep image prior algorithm
  ☆63Updated last year
• ricedsp / prDeep
  This package contains the code to run prDeep; a noise robust phase retrieval algorithm based on deep neural networks.
  ☆45Updated 6 years ago
• vsitzmann / deepoptics
  ☆146Updated 4 years ago
• uclaopt / Provable_Plug_and_Play
  [ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
  ☆67Updated 6 years ago
• pvjosue / WaveBlocks
  Optimization framework developed in Pytorch, allowing calibration, and joint optimization of optics and deep learning models.
  ☆54Updated 2 years ago
• charlesnchr / ML-SIM
  Desktop app, web app and source code for training, testing and using ML-SIM
  ☆32Updated 2 years ago
• tomgoldstein / fasta-matlab
  A Matlab library for solving optimization problems with forward-backward splitting
  ☆40Updated 6 years ago