karpathy / deep-vector-quantizationLinks
VQVAEs, GumbelSoftmaxes and friends
☆572Updated 3 years ago
Alternatives and similar repositories for deep-vector-quantization
Users that are interested in deep-vector-quantization are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of VQ-VAE by Aäron van den Oord et al.☆575Updated 5 years ago
- A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)☆768Updated 2 years ago
- Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"☆446Updated 2 years ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆869Updated 5 years ago
- ☆318Updated 2 years ago
- Vector Quantized VAEs - PyTorch Implementation☆917Updated last year
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,050Updated 2 years ago
- Official implementation of VQ-Diffusion☆945Updated last year
- Minimalist implementation of VQ-VAE in Pytorch☆540Updated 4 years ago
- Noise Conditional Score Networks (NeurIPS 2019, Oral)☆728Updated last year
- Simple, extendable, easy to understand Glow implementation in PyTorch☆384Updated 2 years ago
- A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch☆694Updated 2 years ago
- Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch☆350Updated last year
- Transformer based on a variant of attention that is linear complexity in respect to sequence length☆775Updated last year
- ☆806Updated 2 months ago
- A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model☆592Updated 6 months ago
- ☆376Updated last year
- Fully featured implementation of Routing Transformer☆295Updated 3 years ago
- Easy generative modeling in PyTorch☆439Updated last year
- Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch☆1,151Updated last year
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆438Updated 9 months ago
- The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)☆365Updated 3 years ago
- PyTorch implementations of algorithms for density estimation☆585Updated 4 years ago
- A library to inspect and extract intermediate layers of PyTorch models.☆473Updated 3 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆264Updated 3 years ago
- Implementation of Slot Attention from GoogleAI☆438Updated 10 months ago
- Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in P…☆204Updated last year
- A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training☆477Updated last year
- PyTorch Implementation of OpenAI's Image GPT☆257Updated last year
- Pytorch implementation of MaskGIT: Masked Generative Image Transformer (https://arxiv.org/pdf/2202.04200.pdf)☆443Updated last year