locuslab / deq

Related projects ⓘ

Alternatives and complementary repositories for deq

• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆233Updated 3 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆629Updated 4 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆661Updated 2 years ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆532Updated last year
• openai / ebm_code_release
  Code for Implicit Generation and Generalization with Energy Based Models
  ☆345Updated last year
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆417Updated 2 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…
  ☆1,593Updated 2 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆519Updated 3 months ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆561Updated this week
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆846Updated 4 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆364Updated 8 months ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆606Updated 3 years ago
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆468Updated 2 years ago
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆545Updated 4 years ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,399Updated 6 months ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆574Updated 9 months ago
• rusty1s / pytorch_sparse
  PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
  ☆1,011Updated last week
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆595Updated 10 months ago
• 2prime / ODE-DL
  Paper List For Linking ODE and Deep Learning
  ☆243Updated 4 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆577Updated 3 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆586Updated last year
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆692Updated 8 months ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆421Updated last year
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆627Updated 2 years ago
• martius-lab / blackbox-backprop
  Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…
  ☆340Updated 2 years ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆988Updated 3 years ago
• ermongroup / ncsn
  Noise Conditional Score Networks (NeurIPS 2019, Oral)
  ☆678Updated 9 months ago
• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆455Updated last year
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆848Updated last year
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆434Updated 6 years ago