Alternatives and similar repositories for Proximal_Neural_Networks

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

• francois-rozet / diffusion-priors
  Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization
  ☆24Updated 2 months ago
• chenlin9 / Gaussianization_Flows
  ☆22Updated 5 years ago
• FabianAltekrueger / patchNR
  Implementation for the paper "PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization".
  ☆21Updated last year
• v0lta / Jax-Wavelet-Toolbox
  Differentiable and gpu enabled fast wavelet transforms in JAX.
  ☆42Updated 10 months ago
• CEA-COSMIC / ModOpt
  Modular Optimisation tools for solving inverse problems
  ☆26Updated 2 months ago
• JevgenijaAksjonova / Deep-Optimization
  Code for the article "Accelerated Forward-Backward Optimization using Deep Learning"
  ☆12Updated 3 years ago
• bccp / DeepUQ
  Bayesian Uncertainty Quantification by Deep Generative Model
  ☆19Updated 4 years ago
• Atcold / tex-Learning-TikZ
  ☆12Updated 7 months ago
• dgilton / deep_equilibrium_inverse
  Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"
  ☆37Updated 3 years ago
• francois-rozet / inox
  Stainless neural networks in JAX
  ☆34Updated last month
• aangelopoulos / im2im-uq
  Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…
  ☆56Updated 2 years ago
• HeSunPU / DPI
  Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
  ☆37Updated 3 years ago
• flatironinstitute / pytorch-finufft
  Pytorch wrappers for the FINUFFT library
  ☆14Updated 5 months ago
• MLI-lab / Robustness-CS
  Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.
  ☆31Updated 3 years ago
• joaquimcampos / DeepSplines
  Learning Activation Functions in Deep (Spline) Neural Networks
  ☆28Updated last year
• albangossard / Bindings-NUFFT-pytorch
  Bindings to use a NUFFT in pytorch with differentiation with respect to the input and to the positions.
  ☆22Updated 4 months ago
• astro-informatics / s2wav
  Differentiable and accelerated wavelet transform on the sphere with JAX
  ☆17Updated last year
• jmaces / robust-nets
  Official implementation of the paper "Solving Inverse Problems With Deep Neural Networks - Robustness Included?" by M. Genzel, J. Macdona…
  ☆28Updated 3 years ago
• ermongroup / self-similarity-prior
  Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
  ☆28Updated 2 years ago
• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 3 years ago
• jejjohnson / ml4ssh
  Machine learning applied to interpolate sea-surface height observations from altimetry tracks.
  ☆11Updated 2 years ago
• sunyumark / PnP-MonteCarlo
  Published in IEEE Trans. Comput. Imag.
  ☆8Updated 6 months ago
• swing-research / trumpets
  Official repo for Trumpets: Injective Flows for Inference and Inverse Problems
  ☆13Updated 3 years ago
• sherbret / normalization_equivariant_nn
  Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising"
  ☆13Updated 5 months ago
• Anima-Lab / DiffStateGrad
  DiffStateGrad [ICLR 2025]
  ☆12Updated 2 months ago
• kellman / physics_based_learning
  Learning for computational imaging system made simple.
  ☆62Updated 4 years ago
• lucadellalib / bayestorch
  Lightweight Bayesian deep learning library for fast prototyping based on PyTorch
  ☆13Updated 2 years ago
• carnotresearch / cr-sparse
  Functional models and algorithms for sparse signal processing
  ☆89Updated last year
• ASEM000 / pytreeclass
  Visualize, create, and operate on pytrees in the most intuitive way possible.
  ☆45Updated 4 months ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆18Updated 3 years ago