Alternatives and similar repositories for implicit-normalizing-flows

Users that are interested in implicit-normalizing-flows are comparing it to the libraries listed below

• locuslab / deq-ddim
  ☆61Updated 2 years ago
• ruiqigao / recovery_likelihood
  ☆51Updated 4 years ago
• AilsaF / RS-GAN
  ☆31Updated 4 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆56Updated 2 years ago
• thudzj / Calibrated-DPMs
  Official code for "On Calibrating Diffusion Probabilistic Models"
  ☆29Updated 2 years ago
• zhifengkong / FastDPM_pytorch
  Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models
  ☆84Updated 3 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆59Updated 4 years ago
• Kim-Dongjun / Soft-Truncation
  A repo for "Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation"
  ☆51Updated 2 years ago
• qsh-zh / gDDIM
  [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic
  ☆49Updated last year
• giannisdaras / cdm
  [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"
  ☆56Updated 2 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆40Updated 2 years ago
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated last year
• LuChengTHU / mle_score_ode
  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)
  ☆61Updated 2 years ago
• Schwartz-Zha / InvertibleAttention
  ☆19Updated 3 years ago
• NVlabs / TCM
  Codebase of Truncated Consistency Models (ICLR 2025)
  ☆23Updated 4 months ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated last year
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆80Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆35Updated 7 months ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆104Updated 3 years ago
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆86Updated 4 years ago
• MoeinSorkhei / glow2
  Full-Glow: Fully conditional Glow for more realistic image generation
  ☆28Updated 3 years ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆83Updated 3 months ago
• FutureXiang / edm2
  Minimal multi-gpu implementation of EDM2: "Analyzing and Improving the Training Dynamics of Diffusion Models"
  ☆32Updated last year
• XuezheMax / wolf
  Invertible Generative Flows
  ☆83Updated 4 years ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆27Updated 3 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆61Updated 2 years ago
• baofff / Extended-Analytic-DPM
  Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…
  ☆109Updated 2 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated last year