Alternatives and similar repositories for sparse-ho

Users that are interested in sparse-ho are comparing it to the libraries listed below

• mathurinm / andersoncd
  This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…
  ☆18Updated 2 years ago
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆88Updated 3 weeks ago
• cvxgrp / a2dr
  Anderson accelerated Douglas-Rachford splitting
  ☆29Updated 4 years ago
• PerformanceEstimation / Performance-Estimation-Toolbox
  Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…
  ☆55Updated last year
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆118Updated 3 years ago
• benchopt / benchopt
  Making your benchmark of optimization algorithms simple and open
  ☆267Updated last month
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated 2 years ago
• vienmai / drot
  Douglas-Rachford Splitting for Optimal Transport
  ☆11Updated 3 years ago
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆73Updated 4 years ago
• benchopt / template_benchmark
  ☆26Updated 7 months ago
• josephsalmon / OrganizationFiles
  ☆13Updated 7 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 6 months ago
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated 2 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 6 months ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆139Updated 3 months ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆92Updated last year
• openopt / copt
  A Python library for mathematical optimization
  ☆141Updated 11 months ago
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆54Updated last year
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆191Updated 2 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆52Updated last year
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆105Updated last month
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated last year
• pilancilab / convex_nn
  ☆16Updated 4 years ago
• gwgundersen / random-fourier-features
  Code for random Fourier features based on Rahimi and Recht's 2007 paper.
  ☆57Updated 4 years ago
• ludwigwinkler / pytorch_MCMC
  Lightweight MCMC sampling for PyTorch Models aka My Corona Project
  ☆49Updated last month
• pierreablin / ksddescent
  Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
  ☆22Updated last year