Alternatives and similar repositories for deq-jax

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

• gehring / fax
  ☆80Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆83Updated 3 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆53Updated 5 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• juntang-zhuang / torch_ACA
  repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
  ☆56Updated 4 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 4 years ago
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆204Updated 10 months ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆67Updated 4 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• aboustati / vargrad
  Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference
  ☆12Updated 4 years ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 3 years ago
• mlysy / rodeo-legacy
  Probabilistic Solution of Differential Equations
  ☆13Updated 3 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆41Updated 5 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 5 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• Joshuaalbert / jaxnlds
  Inference on non-linear dynamical systems written in JAX
  ☆11Updated 4 years ago
• joschu / jax-exp
  ☆24Updated 6 years ago
• necludov / iMCMC
  ☆22Updated 5 years ago
• google-deepmind / mc_gradients
  ☆169Updated 11 months ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• google-deepmind / einshape
  ☆104Updated last year
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 4 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆75Updated 11 months ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 4 years ago
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆65Updated 9 months ago
• nestordemeure / jochastic
  A JAX implementation of stochastic addition.
  ☆14Updated 2 years ago
• choidami / sst
  ☆49Updated 4 years ago
• mfinzi / residual-pathway-priors
  ☆20Updated 3 years ago
• ASEM000 / pytreeclass
  Visualize, create, and operate on pytrees in the most intuitive way possible.
  ☆45Updated 6 months ago