Alternatives and similar repositories for mdmm:

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

• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆111Updated this week
• CW-Huang / CP-Flow
  Convex potential flows
  ☆82Updated 3 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated last year
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 4 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆86Updated 2 years ago
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated 6 months ago
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆63Updated 3 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆49Updated 3 years ago
• brentyi / jax_dataclasses
  Pytrees + dataclasses ❤️
  ☆63Updated 7 months ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆98Updated last year
• toshas / torch_truncnorm
  Truncated Normal Distribution in PyTorch
  ☆84Updated last year
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆104Updated 2 weeks ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆100Updated last year
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆185Updated 6 months ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆97Updated 9 months ago
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 3 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆111Updated 9 months ago
• khdlr / augmax
  Efficiently Composable Data Augmentation on the GPU with Jax
  ☆32Updated 6 months ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆39Updated 4 years ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 2 years ago
• SymJAX / SymJAX
  Documentation:
  ☆119Updated last year
• crowsonkb / mdmm-jax
  Gradient-based constrained optimization for JAX
  ☆28Updated 2 years ago
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆85Updated 3 weeks ago
• gehring / fax
  ☆80Updated 3 years ago
• danielward27 / flowjax
  ☆141Updated this week
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated last year
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆69Updated 4 years ago