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".
  ☆650Updated 4 years ago
• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆234Updated 4 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆584Updated 4 years ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆608Updated last year
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆876Updated 5 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆588Updated 7 months ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆528Updated last year
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆648Updated 4 months ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆697Updated 3 weeks ago
• openai / ebm_code_release
  Code for Implicit Generation and Generalization with Energy Based Models
  ☆354Updated 2 years ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆967Updated 3 weeks ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆612Updated 2 years ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,004Updated 4 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆425Updated 2 years ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆627Updated 4 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆376Updated last year
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆827Updated 2 months ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆372Updated 5 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆271Updated last year
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,621Updated 3 years ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆545Updated 2 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆472Updated 3 years ago
• martius-lab / blackbox-backprop
  Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…
  ☆346Updated 3 years ago
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆607Updated 5 years ago
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆445Updated 7 years ago
• rajatvd / NTK
  Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK
  ☆176Updated 5 years ago
• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆459Updated 2 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆235Updated 6 years ago
• loeweX / Greedy_InfoMax
  Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
  ☆285Updated 2 years ago