Alternatives and similar repositories for copt

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

• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆103Updated 2 years ago
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆241Updated 2 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆197Updated 6 months ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• google-research / ott
  ☆214Updated 4 years ago
• AaltoML / SDE
  Example codes for the book Applied Stochastic Differential Equations
  ☆205Updated 3 months ago
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆118Updated 3 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆66Updated 6 years ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆98Updated this week
• google-deepmind / mc_gradients
  ☆172Updated last year
• pyro-ppl / funsor
  Functional tensors for probabilistic programming
  ☆245Updated 2 years ago
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆116Updated last week
• AlCorreia / GeFs
  Generative Forests in Python
  ☆35Updated 2 years ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆226Updated last year
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆74Updated 5 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• probml / JSL
  Jax SSM Library
  ☆48Updated 3 years ago
• trevorcampbell / bayesian-coresets
  Automated Scalable Bayesian Inference
  ☆131Updated 4 years ago
• SymJAX / SymJAX
  Documentation:
  ☆126Updated 2 years ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 5 years ago
• hughsalimbeni / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆112Updated 4 years ago
• josephsalmon / OrganizationFiles
  ☆13Updated this week
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆65Updated last year
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆236Updated last month
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆86Updated 2 years ago
• ColCarroll / minimc
  Just a little MCMC
  ☆235Updated last year
• freelunchtheorem / Conditional_Density_Estimation
  Python and torch-based package implementing various parametric and nonparametric methods for conditional density estimation
  ☆197Updated last month
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆119Updated 4 years ago