Alternatives and similar repositories for sgilo

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

• gisilvs / AEF
  ☆33Updated 2 years ago
• bjing2016 / subspace-diffusion
  Improved diffusion generative models with subspaces
  ☆135Updated 3 years ago
• NVlabs / LACE
  A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.
  ☆75Updated 4 years ago
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆105Updated 4 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆57Updated 3 years ago
• 5yearsKim / Conditional-Normalizing-Flow
  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
  ☆80Updated 3 years ago
• nv-tlabs / GENIE
  GENIE: Higher-Order Denoising Diffusion Solvers
  ☆96Updated 2 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated 2 years ago
• samb-t / infty-diff
  Code for the the ICLR 2024 paper "∞-Diff: Infinite Resolution Diffusion with Subsampled Mollified States"
  ☆106Updated last year
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆69Updated 2 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆61Updated 4 years ago
• giannisdaras / ilo
  [ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
  ☆121Updated 3 years ago
• lucidrains / logavgexp-torch
  Implementation of LogAvgExp for Pytorch
  ☆37Updated 9 months ago
• locuslab / deq-ddim
  ☆63Updated 2 years ago
• cfoster0 / simple-diffusion-model
  Pedagogical codebase for a simplified score-based generative model design, with training loop
  ☆40Updated 4 years ago
• nv-tlabs / CLD-SGM
  Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
  ☆200Updated 2 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆37Updated 4 years ago
• louaaron / Reflected-Diffusion
  [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)
  ☆159Updated 2 years ago
• enhuiz / langevin-dynamics-and-score-matching
  A demo shows how to combine Langevin dynamics with score matching for generative models.
  ☆42Updated 5 years ago
• yedidh / glann
  Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"
  ☆28Updated 6 years ago
• qsh-zh / deis
  [ICLR 2023]DEIS: Fast Sampling of Diffusion Models with Exponential Integrator
  ☆160Updated 2 years ago
• alexandonian / contrastive-feature-loss
  PyTorch implementation of Contrastive Feature Loss for Image Prediction (AIM Workshop at ICCV 2021)
  ☆55Updated 4 years ago
• fudan-zvg / PDS
  [ECCV 2022 & IJCV 2025] Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling
  ☆61Updated 10 months ago
• mandt-lab / PSLD
  Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models
  ☆31Updated last year
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆91Updated 11 months ago
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆152Updated 2 years ago
• AranKomat / Diff-DALLE
  ☆64Updated 4 years ago
• apple / ml-agm
  ☆44Updated last year
• MoeinSorkhei / glow2
  Full-Glow: Fully conditional Glow for more realistic image generation
  ☆29Updated 4 years ago
• patil-suraj / vit-vqgan
  JAX implementation ViT-VQGAN
  ☆82Updated 3 years ago