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  This code is no longer maintained.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 2 weeks ago
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆118Updated 3 years ago
• cvxgrp / a2dr
  Anderson accelerated Douglas-Rachford splitting
  ☆29Updated 4 years ago
• benchopt / benchopt
  Making your benchmark of optimization algorithms simple and open
  ☆266Updated last week
• josephsalmon / OrganizationFiles
  ☆13Updated 5 months 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…
  ☆54Updated last year
• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated 2 years ago
• benchopt / template_benchmark
  ☆26Updated 6 months ago
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆101Updated 2 weeks ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 5 months ago
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 4 years ago
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 4 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆51Updated last year
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• ymalitsky / adaptive_GD
  Adaptive gradient descent without descent
  ☆48Updated 3 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆190Updated 2 weeks ago
• benchopt / benchmark_lasso
  Benchopt benchmark for Lasso
  ☆14Updated 2 weeks ago
• vienmai / drot
  Douglas-Rachford Splitting for Optimal Transport
  ☆11Updated 3 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆100Updated 2 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆91Updated last year
• zalandoresearch / JaxRK
  RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation
  ☆8Updated 4 years ago
• cvxgrp / torch_linops
  A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.
  ☆14Updated 6 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated last year
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆135Updated last month
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated last year
• wesselb / NeuralProcesses.jl
  A framework for composing Neural Processes in Julia
  ☆76Updated 4 years ago