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
  ☆631Updated 7 months ago
• acids-ircam / diffusion_models
  A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
  ☆649Updated 2 years ago
• clementchadebec / benchmark_VAE
  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
  ☆1,831Updated 4 months ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,444Updated last month
• atong01 / conditional-flow-matching
  TorchCFM: a Conditional Flow Matching library
  ☆1,284Updated 2 weeks ago
• rll / deepul
  ☆766Updated 8 months ago
• yang-song / score_sde_pytorch
  PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
  ☆1,761Updated 4 months ago
• yang-song / score_sde
  Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
  ☆1,521Updated 2 years ago
• tanelp / tiny-diffusion
  A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
  ☆677Updated 6 months ago
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆732Updated 3 months ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆280Updated last year
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,403Updated 7 months ago
• NVlabs / NVAE
  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
  ☆1,028Updated last year
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆852Updated last year
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆788Updated 3 years ago
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆333Updated last week
• cloneofsimo / minDiffusion
  Self-contained, minimalistic implementation of diffusion models with Pytorch.
  ☆875Updated 2 years ago
• Sohl-Dickstein / Diffusion-Probabilistic-Models
  Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  ☆453Updated 7 years ago
• karpathy / deep-vector-quantization
  VQVAEs, GumbelSoftmaxes and friends
  ☆535Updated 3 years ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆846Updated 4 years ago
• mikonvergence / DiffusionFastForward
  DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
  ☆605Updated last year
• Jackson-Kang / Pytorch-VAE-tutorial
  A simple tutorial of Variational AutoEncoders with Pytorch
  ☆336Updated 9 months ago
• TeaPearce / Conditional_Diffusion_MNIST
  Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
  ☆669Updated 10 months ago
• phlippe / uvadlc_notebooks
  Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
  ☆2,591Updated last month
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆473Updated this week
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,355Updated 2 months ago
• NVlabs / edm
  Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
  ☆1,417Updated 8 months ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
  ☆529Updated this week
• 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…
  ☆666Updated last year
• MishaLaskin / vqvae
  A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
  ☆656Updated last year