Alternatives and similar repositories for generalized-diffusion:

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

• necludov / action-matching
  Implementation of Action Matching for the Schrödinger equation
  ☆24Updated last year
• f-dangel / einconv
  Convolutions and more as einsum for PyTorch
  ☆13Updated 7 months ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆18Updated 3 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆28Updated 11 months ago
• ermongroup / self-similarity-prior
  Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
  ☆27Updated 2 years ago
• francois-rozet / papers-101
  Implementation of papers in 101 lines of code.
  ☆18Updated last year
• f-dangel / vivit
  [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…
  ☆17Updated last year
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆22Updated last year
• mackelab / gatsbi
  GATSBI: Generative Adversarial Training for Simulation-Based Inference
  ☆17Updated last year
• maxxxzdn / implicit-steerable-kernels
  Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.
  ☆28Updated 9 months ago
• gisilvs / AEF
  ☆33Updated last year
• facebookresearch / Addressing-the-Topological-Defects-of-Disentanglement
  Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
  ☆22Updated 2 years ago
• montefiore-institute / balanced-nre
  Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
  ☆12Updated 2 years ago
• chenlin9 / Gaussianization_Flows
  ☆22Updated 4 years ago
• vdeborto / cdsb
  ☆22Updated 2 years ago
• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated 2 years ago
• singlasahil14 / SOC
  Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
  ☆18Updated 2 years ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆43Updated 3 years ago
• hmdolatabadi / LRS_NF
  [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
  ☆20Updated last year
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆35Updated 2 years ago
• noamroze / moser_flow
  ☆16Updated 2 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆39Updated 7 months ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆24Updated this week
• pierreablin / ksddescent
  Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
  ☆21Updated 9 months ago
• facebookresearch / semi-discrete-flow
  code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"
  ☆24Updated 2 years ago
• ExplainableML / uot-fm
  Official Repository for "Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation" [ICLR 2024]
  ☆12Updated 8 months ago
• fissoreg / relative-gradient-jacobian
  Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020
  ☆21Updated 3 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• google-deepmind / annealed_flow_transport
  ☆49Updated last year