Alternatives and similar repositories for libsvmdata

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

• benchopt / benchopt
  Making your benchmark of optimization algorithms simple and open
  ☆282Updated this week
• benchopt / benchmark_lasso
  Benchopt benchmark for Lasso
  ☆14Updated 4 months ago
• josephsalmon / OrganizationFiles
  ☆13Updated 3 weeks ago
• QB3 / sparse-ho
  Fast hyperparameter settings for non-smooth estimators:
  ☆40Updated 2 years 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  This code is no longer maintained.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 3 years ago
• josephsalmon / HAX712X
  Software dev. for data science (Python)
  ☆15Updated 7 months ago
• benchopt / template_benchmark
  ☆27Updated last week
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆187Updated 2 months ago
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆118Updated 3 years ago
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆94Updated this week
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆192Updated 4 months ago
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆235Updated 6 months ago
• simomarsili / ndd
  Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm
  ☆51Updated 4 years ago
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆147Updated last week
• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated 2 years ago
• antoninschrab / mmdfuse
  MMD-FUSE package implementing the MMD-FUSE test proposed in MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data …
  ☆11Updated last year
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆92Updated 9 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆105Updated 2 years ago
• janezd / baycomp
  ☆75Updated last year
• openopt / copt
  A Python library for mathematical optimization
  ☆141Updated last year
• TyXe-BDL / TyXe
  ☆155Updated 3 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆147Updated last month
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• TheoGuyard / El0ps
  El0ps: An Exact L0-Problem Solver
  ☆13Updated 6 months ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆60Updated 3 weeks ago
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆75Updated last year
• AlCorreia / GeFs
  Generative Forests in Python
  ☆35Updated 2 years ago
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆95Updated 3 months ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year
• PyLops / pyproximal
  PyProximal – Proximal Operators and Algorithms in Python
  ☆80Updated 2 weeks ago