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
• jejjohnson / ml4ssh
  Machine learning applied to interpolate sea-surface height observations from altimetry tracks.
  ☆11Updated 2 years ago
• francois-rozet / diffusion-priors
  Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization
  ☆26Updated 4 months ago
• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆18Updated 2 months ago
• swing-research / trumpets
  Official repo for Trumpets: Injective Flows for Inference and Inverse Problems
  ☆13Updated 4 years ago
• chenlin9 / Gaussianization_Flows
  ☆21Updated 5 years ago
• vdeborto / cdsb
  ☆24Updated 3 years ago
• necludov / jam
  Implementation of Action Matching
  ☆44Updated 2 years ago
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆78Updated 3 years ago
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆23Updated 2 years 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
• dimitra-maoutsa / DeterministicParticleFlowControl
  Repository for Deterministic Particle Flow Control framework
  ☆10Updated 2 years ago
• JevgenijaAksjonova / Deep-Optimization
  Code for the article "Accelerated Forward-Backward Optimization using Deep Learning"
  ☆12Updated 3 years ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆17Updated 9 months ago
• necludov / oMCMC
  orbital MCMC
  ☆10Updated 4 years ago
• FabianAltekrueger / WPPNets
  WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution.
  ☆11Updated last year
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆19Updated 3 years ago
• yuyang-shi / generalized-diffusion
  ☆16Updated 2 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• NickHunt-Smith / MCMC-diffusion
  A Metropolis-Hastings MCMC sampler accelerated via diffusion models
  ☆14Updated last year
• 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…
  ☆57Updated 2 years ago
• FabianAltekrueger / NeuralWassersteinGradientFlows
  Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"
  ☆11Updated last year
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆25Updated 3 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated 2 years ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆47Updated 2 years ago
• v0lta / Jax-Wavelet-Toolbox
  Differentiable and gpu enabled fast wavelet transforms in JAX.
  ☆45Updated last year
• pmorenoz / ModularGP
  Modular Gaussian Processes
  ☆15Updated 3 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆34Updated 3 years ago
• pnkraemer / million-dimension-prob-ode-solver-experiments
  ☆10Updated 3 years ago