Alternatives and similar repositories for sparse-ho

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

• josephsalmon / OrganizationFiles
  ☆13Updated 4 months ago
• 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  This code is no longer maintained.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
• benchopt / benchmark_lasso
  Benchopt benchmark for Lasso
  ☆14Updated last year
• cvxgrp / a2dr
  Anderson accelerated Douglas-Rachford splitting
  ☆29Updated 4 years ago
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆88Updated 5 months ago
• vienmai / drot
  Douglas-Rachford Splitting for Optimal Transport
  ☆10Updated 3 years ago
• mathurinm / libsvmdata
  Python package to fetch data from the LIBSVM website.
  ☆20Updated last month
• benchopt / template_benchmark
  ☆26Updated 5 months ago
• facebookresearch / RidgeSketch
  A Fast sketching based solver for large scale ridge regression
  ☆17Updated last year
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• benchopt / benchopt
  Making your benchmark of optimization algorithms simple and open
  ☆263Updated last month
• ialong / GPt
  Gaussian Processes for Sequential Data
  ☆18Updated 4 years ago
• alpyurtsever / SketchyCGAL
  MATLAB implementation of the Scalable Semidefinite Programming
  ☆26Updated last year
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆68Updated 7 months ago
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆34Updated 4 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
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆125Updated 2 weeks ago
• aterenin / SparseGaussianProcesses.jl
  A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.
  ☆33Updated 4 years ago
• ksehic / LassoBench
  Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression
  ☆12Updated 2 years ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• izmailovpavel / neurips_bdl_starter_kit
  ☆18Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 3 months ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆40Updated 2 months ago
• pierreablin / ksddescent
  Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
  ☆21Updated last year
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆42Updated 10 months ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆32Updated 2 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆118Updated 3 years ago