Alternatives and similar repositories for patchNR

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

• johertrich / Proximal_Neural_Networks
  Implementation for Proximal Neural Networks.
  ☆11Updated 3 years ago
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆12Updated last year
• francois-rozet / diffusion-priors
  Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization
  ☆26Updated 4 months ago
• chenlin9 / Gaussianization_Flows
  ☆21Updated 5 years ago
• swing-research / trumpets
  Official repo for Trumpets: Injective Flows for Inference and Inverse Problems
  ☆13Updated 4 years ago
• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆17Updated last month
• vdeborto / cdsb
  ☆23Updated 3 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated 2 years ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆16Updated 8 months ago
• EmoryMLIP / DeepGenerativeModelingIntro
  PyTorch Code used in 'Introduction to Deep Generative Modeling'
  ☆53Updated 4 years ago
• NickHunt-Smith / MCMC-diffusion
  A Metropolis-Hastings MCMC sampler accelerated via diffusion models
  ☆13Updated 11 months ago
• necludov / jam
  Implementation of Action Matching
  ☆44Updated 2 years ago
• JevgenijaAksjonova / Deep-Optimization
  Code for the article "Accelerated Forward-Backward Optimization using Deep Learning"
  ☆12Updated 3 years ago
• pnkraemer / million-dimension-prob-ode-solver-experiments
  ☆10Updated 3 years ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆78Updated 3 years ago
• necludov / oMCMC
  orbital MCMC
  ☆10Updated 4 years ago
• kkothari93 / fionet
  Official repo for "Learning the geometry of wave-based imaging"
  ☆12Updated 4 years ago
• 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
• vandijklab / CST
  Continuous Spatiotemporal Transformer
  ☆21Updated 2 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆33Updated 3 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆45Updated 3 weeks ago
• pputzky / invertible_rim
  Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations
  ☆37Updated 5 years ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆47Updated 2 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• CIA-Oceanix / 4dvarnet-starter
  Streamlined version of the 4dvarnet algorithm: probably a good starting point to understand and applying it
  ☆10Updated 2 months ago
• li012589 / NeuralWavelet
  Implementation for the paper "Learning Non-linear Wavelet Transformation via Normalizing Flow"(arXiv:2101.11306)
  ☆30Updated 4 years ago
• v0lta / Jax-Wavelet-Toolbox
  Differentiable and gpu enabled fast wavelet transforms in JAX.
  ☆42Updated last year
• FabianAltekrueger / WPPNets
  WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution.
  ☆11Updated last year
• yuyang-shi / generalized-diffusion
  ☆16Updated 2 years ago
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆11Updated last year