Alternatives and similar repositories for libsvmdata:

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

• benchopt / benchmark_lasso
  Benchopt benchmark for Lasso
  ☆14Updated last year
• 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  This code is no longer maintained.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…
  ☆17Updated 2 years ago
• josephsalmon / OrganizationFiles
  ☆13Updated last month
• QB3 / sparse-ho
  Fast hyperparameter settings for non-smooth estimators:
  ☆39Updated last year
• benchopt / benchopt
  Making your benchmark of optimization algorithms simple and open
  ☆261Updated 3 months ago
• TheoGuyard / El0ps
  El0ps: An Exact L0-Problem Solver
  ☆9Updated 2 months ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆168Updated 4 months ago
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆85Updated 2 months ago
• josephsalmon / HAX712X
  Software dev. for data science (Python)
  ☆14Updated 3 weeks ago
• benchopt / template_benchmark
  ☆26Updated 2 months ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆86Updated last month
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆219Updated 8 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆102Updated last year
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆118Updated 2 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆122Updated 11 months ago
• Klopfe / LSVR
  Python packages for Support Vector Regression with Linear Constraints
  ☆10Updated 4 years ago
• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated 2 years ago
• fKunstner / dataset-downloader
  ☆13Updated 7 months ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆34Updated 3 weeks ago
• simomarsili / ndd
  Bayesian entropy estimation in Python - via the Nemenman-Schafee-Bialek algorithm
  ☆48Updated 4 years ago
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆11Updated last year
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆60Updated 4 months ago
• ludwigwinkler / pytorch_MCMC
  Lightweight MCMC sampling for PyTorch Models aka My Corona Project
  ☆45Updated 4 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆30Updated 2 months ago
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆11Updated last year
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆58Updated 9 months ago
• tomMoral / adopty
  ☆19Updated 5 years ago
• wittawatj / fsic-test
  ICML 2017. Kernel-based adaptive linear-time independence test.
  ☆16Updated 3 years ago
• mathurinm / example_package
  ☆13Updated last month
• openopt / copt
  A Python library for mathematical optimization
  ☆139Updated 6 months ago