Alternatives and similar repositories for deep-vector-quantization

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

• openai / vdvae
  Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
  ☆446Updated 2 years ago
• zalandoresearch / pytorch-vq-vae
  PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
  ☆589Updated 5 years ago
• NVlabs / NVAE
  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
  ☆1,064Updated 2 years ago
• EugenHotaj / pytorch-generative
  Easy generative modeling in PyTorch
  ☆442Updated 2 years ago
• nadavbh12 / VQ-VAE
  Minimalist implementation of VQ-VAE in Pytorch
  ☆548Updated 4 years ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆881Updated 5 years ago
• lucidrains / linear-attention-transformer
  Transformer based on a variant of attention that is linear complexity in respect to sequence length
  ☆798Updated last year
• krasserm / perceiver-io
  A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training
  ☆490Updated last year
• MishaLaskin / vqvae
  A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
  ☆819Updated 2 years ago
• google-research / vdm
  ☆323Updated 3 years ago
• acids-ircam / diffusion_models
  A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
  ☆700Updated 2 years ago
• microsoft / VQ-Diffusion
  Official implementation of VQ-Diffusion
  ☆964Updated last year
• lucidrains / local-attention
  An implementation of local windowed attention for language modeling
  ☆480Updated 2 months ago
• ermongroup / ncsn
  Noise Conditional Score Networks (NeurIPS 2019, Oral)
  ☆742Updated last year
• lucidrains / ema-pytorch
  A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model
  ☆609Updated 9 months ago
• lucidrains / Adan-pytorch
  Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
  ☆252Updated 3 years ago
• lucidrains / perceiver-pytorch
  Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
  ☆1,172Updated 2 years ago
• kzl / universal-computation
  Official codebase for Pretrained Transformers as Universal Computation Engines.
  ☆247Updated 3 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆386Updated 3 years ago
• ritheshkumar95 / pytorch-vqvae
  Vector Quantized VAEs - PyTorch Implementation
  ☆934Updated 2 years ago
• teddykoker / image-gpt
  PyTorch Implementation of OpenAI's Image GPT
  ☆258Updated last year
• rll / deepul
  ☆815Updated 5 months ago
• srush / annotated-s4
  Implementation of https://srush.github.io/annotated-s4
  ☆502Updated 3 months ago
• google-research / long-range-arena
  Long Range Arena for Benchmarking Efficient Transformers
  ☆764Updated last year
• assafshocher / ResizeRight
  The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).
  ☆564Updated 2 years ago
• kach / gradient-descent-the-ultimate-optimizer
  Code for our NeurIPS 2022 paper
  ☆369Updated 2 years ago
• lucidrains / routing-transformer
  Fully featured implementation of Routing Transformer
  ☆298Updated 3 years ago
• archinetai / surgeon-pytorch
  A library to inspect and extract intermediate layers of PyTorch models.
  ☆473Updated 3 years ago
• matthias-wright / flaxmodels
  Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
  ☆260Updated 6 months ago
• mlpen / Nystromformer
  ☆382Updated last year