Alternatives and similar repositories for deq:

Users that are interested in deq are comparing it to the libraries listed below

• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆634Updated 4 years ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆579Updated 11 months ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆577Updated 3 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆664Updated 2 years ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆786Updated last year
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆609Updated 3 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆568Updated 2 weeks ago
• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆232Updated 3 years ago
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,601Updated 2 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆609Updated 11 months ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆850Updated 4 years ago
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆559Updated 4 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆273Updated last year
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆226Updated 5 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆522Updated 5 months ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆418Updated 2 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆370Updated 10 months ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆869Updated 3 weeks ago
• openai / ebm_code_release
  Code for Implicit Generation and Generalization with Energy Based Models
  ☆348Updated last year
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆470Updated 2 years ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆878Updated 8 months ago
• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆458Updated last year
• lucidrains / linear-attention-transformer
  Transformer based on a variant of attention that is linear complexity in respect to sequence length
  ☆724Updated 8 months ago
• jonbarron / robust_loss_pytorch
  A pytorch port of google-research/google-research/robust_loss/
  ☆670Updated 3 years ago
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆437Updated 6 years ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆534Updated last year
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆230Updated 6 years ago
• idiap / fast-transformers
  Pytorch library for fast transformer implementations
  ☆1,665Updated last year
• wzlxjtu / PositionalEncoding2D
  A PyTorch implementation of the 1d and 2d Sinusoidal positional encoding/embedding.
  ☆250Updated 4 years ago
• NVlabs / NVAE
  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
  ☆1,038Updated 2 years ago