Alternatives and similar repositories for intro_dgm

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

• deepgenerativemodels / notes
  Course notes
  ☆731Updated last year
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,581Updated 4 months ago
• acids-ircam / diffusion_models
  A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
  ☆705Updated 3 years ago
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆903Updated last year
• clementchadebec / benchmark_VAE
  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
  ☆1,961Updated last year
• yang-song / score_sde
  Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
  ☆1,755Updated 2 years ago
• rll / deepul
  ☆825Updated 7 months ago
• Jackson-Kang / Pytorch-VAE-tutorial
  A simple tutorial of Variational AutoEncoders with Pytorch
  ☆423Updated last year
• yang-song / score_sde_pytorch
  PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
  ☆2,033Updated last year
• cloneofsimo / minDiffusion
  Self-contained, minimalistic implementation of diffusion models with Pytorch.
  ☆1,115Updated 3 years ago
• tanelp / tiny-diffusion
  A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
  ☆953Updated last year
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆970Updated 10 months ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆350Updated 4 months ago
• Sohl-Dickstein / Diffusion-Probabilistic-Models
  Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  ☆514Updated 8 years ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,538Updated last year
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆883Updated 5 years ago
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆830Updated 4 years ago
• atong01 / conditional-flow-matching
  TorchCFM: a Conditional Flow Matching library
  ☆2,110Updated this week
• ermongroup / ncsn
  Noise Conditional Score Networks (NeurIPS 2019, Oral)
  ☆753Updated last year
• Subhajit135 / CS236_DGM
  🦍 Stanford CS236 : Deep Generative Models
  ☆155Updated 6 years ago
• gordicaleksa / get-started-with-JAX
  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…
  ☆764Updated last year
• mikonvergence / DiffusionFastForward
  DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
  ☆670Updated 2 years ago
• NVlabs / edm
  Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
  ☆1,824Updated last year
• probml / pml2-book
  Probabilistic Machine Learning: Advanced Topics
  ☆1,500Updated 6 months ago
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆417Updated 3 weeks ago
• TeaPearce / Conditional_Diffusion_MNIST
  Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
  ☆810Updated last year
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆634Updated 4 years ago
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆831Updated 2 years ago
• EugenHotaj / pytorch-generative
  Easy generative modeling in PyTorch
  ☆438Updated 2 years ago
• google-research / vdm
  ☆326Updated 3 years ago