Alternatives and similar repositories for Anytime-Auto-Regressive-Model

Users that are interested in Anytime-Auto-Regressive-Model are comparing it to the libraries listed below

• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆105Updated 3 years ago
• gisilvs / AEF
  ☆33Updated 2 years ago
• yedidh / glann
  Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"
  ☆28Updated 5 years ago
• lucidrains / compositional-attention-pytorch
  Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…
  ☆51Updated 3 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆40Updated 2 years ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 4 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆57Updated 3 years ago
• lucidrains / isab-pytorch
  An implementation of (Induced) Set Attention Block, from the Set Transformers paper
  ☆64Updated 2 years ago
• AranKomat / Metroplex
  ☆21Updated 2 years ago
• YorkUCVIL / Wavelet-Flow
  Wavelet Flow: Fast Training of High Resolution Normalizing Flows
  ☆60Updated 4 years ago
• AilsaF / RS-GAN
  ☆32Updated 4 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆40Updated 6 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 4 years ago
• nshepperd / ode-gan-pytorch
  ☆15Updated 4 years ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆28Updated 4 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆36Updated 4 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• djordjemila / sdn
  Official PyTorch implementation of Spatial Dependency Networks.
  ☆35Updated 4 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 5 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆46Updated 2 years ago
• ColinQiyangLi / AdaCat
  AdaCat
  ☆49Updated 3 years ago
• lucidrains / logavgexp-torch
  Implementation of LogAvgExp for Pytorch
  ☆37Updated 6 months ago
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆80Updated 2 years ago
• gcambara / cape
  Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
  ☆42Updated 2 years ago
• google-research / fitvid
  ☆66Updated 4 years ago
• lucidrains / ponder-transformer
  Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper
  ☆81Updated 3 years ago
• giannisdaras / smyrf
  [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".
  ☆50Updated 2 years ago
• lucidrains / hourglass-transformer-pytorch
  Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI
  ☆95Updated 3 years ago
• AranKomat / Diff-DALLE
  ☆63Updated 3 years ago