Alternatives and similar repositories for generalized-diffusion

Users that are interested in generalized-diffusion are comparing it to the libraries listed below

• ehoogeboom / convolution_exponential_and_sylvester
  ☆28Updated 3 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 3 years ago
• chenlin9 / Gaussianization_Flows
  ☆21Updated 5 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆29Updated last year
• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆23Updated 2 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆47Updated 2 months ago
• ermongroup / self-similarity-prior
  Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
  ☆28Updated 2 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆55Updated last year
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆47Updated 3 years ago
• ejnnr / steerable_pdos
  Fork of the E2CNN library that adds support for equivariant partial differential operators
  ☆17Updated 3 years ago
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆11Updated last year
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• noamroze / moser_flow
  ☆17Updated 3 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆72Updated last year
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆37Updated 2 years ago
• lollcat / fab-jax
  Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.
  ☆11Updated last year
• f-dangel / einconv
  Convolutions and more as einsum for PyTorch
  ☆17Updated last year
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 5 years ago
• google-deepmind / annealed_flow_transport
  ☆51Updated 2 years ago
• vdeborto / cdsb
  ☆24Updated 3 years ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆19Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• hmdolatabadi / LRS_NF
  [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
  ☆20Updated 2 years ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆14Updated 2 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 4 years ago
• ronaldiscool / VAETutorial
  ☆17Updated 5 years ago
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆34Updated 4 years ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆24Updated 3 years ago
• maxxxzdn / implicit-steerable-kernels
  Implicit Convolutional Kernels for Steerable CNNs [NeurIPS'23]
  ☆29Updated 6 months ago