Alternatives and similar repositories for deep-vector-quantization

Users that are interested in deep-vector-quantization are comparing it to the libraries listed below

• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆865Updated 5 years ago
• openai / vdvae
  Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
  ☆446Updated 2 years ago
• google-research / vdm
  ☆315Updated 2 years ago
• zalandoresearch / pytorch-vq-vae
  PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
  ☆572Updated 5 years ago
• NVlabs / NVAE
  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
  ☆1,050Updated 2 years ago
• nadavbh12 / VQ-VAE
  Minimalist implementation of VQ-VAE in Pytorch
  ☆540Updated 3 years ago
• MishaLaskin / vqvae
  A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
  ☆759Updated 2 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆383Updated 2 years ago
• lucidrains / routing-transformer
  Fully featured implementation of Routing Transformer
  ☆292Updated 3 years ago
• lucidrains / ema-pytorch
  A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model
  ☆587Updated 5 months ago
• ermongroup / ncsn
  Noise Conditional Score Networks (NeurIPS 2019, Oral)
  ☆725Updated last year
• ritheshkumar95 / pytorch-vqvae
  Vector Quantized VAEs - PyTorch Implementation
  ☆912Updated last year
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆423Updated 2 years ago
• rll / deepul
  ☆802Updated last month
• acids-ircam / diffusion_models
  A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
  ☆688Updated 2 years ago
• teddykoker / image-gpt
  PyTorch Implementation of OpenAI's Image GPT
  ☆256Updated last year
• microsoft / VQ-Diffusion
  Official implementation of VQ-Diffusion
  ☆939Updated last year
• Rayhane-mamah / Efficient-VDVAE
  Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
  ☆196Updated 2 years ago
• lucidrains / rotary-embedding-torch
  Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch
  ☆681Updated 6 months ago
• NVlabs / LSGM
  The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
  ☆363Updated 3 years ago
• lucidrains / memory-efficient-attention-pytorch
  Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"
  ☆378Updated last year
• assafshocher / ResizeRight
  The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).
  ☆558Updated last year
• lucidrains / slot-attention
  Implementation of Slot Attention from GoogleAI
  ☆431Updated 9 months ago
• matthias-wright / flaxmodels
  Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
  ☆253Updated 2 months ago
• wpeebles / G.pt
  Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"
  ☆340Updated 2 years ago
• lucidrains / Adan-pytorch
  Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
  ☆252Updated 2 years ago
• lucidrains / recurrent-interface-network-pytorch
  Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in P…
  ☆203Updated last year
• archinetai / surgeon-pytorch
  A library to inspect and extract intermediate layers of PyTorch models.
  ☆473Updated 3 years ago
• lucidrains / bit-diffusion
  Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch
  ☆346Updated last year
• deepgenerativemodels / notes
  Course notes
  ☆691Updated last year