Alternatives and similar repositories for gd-lean

Users that are interested in gd-lean are comparing it to the libraries listed below

• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆88Updated last month
• ccanonne / probabilitydistributiontoolbox
  Folklore facts on probability distribution learning, testing, and whatever-ing
  ☆266Updated last month
• 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
• alpyurtsever / SketchyCGAL
  MATLAB implementation of the Scalable Semidefinite Programming
  ☆26Updated last year
• google-deepmind / jax_verify
  Neural network verification in JAX
  ☆145Updated 2 years ago
• cvxgrp / diffcp
  Differentiation through cone programs
  ☆106Updated 2 months ago
• optsuite / optlib
  ☆74Updated 3 weeks ago
• ConstrainedSampler / PolytopeSamplerMatlab
  A matlab implementation for sampling log-concave distributions with polytope constraints
  ☆16Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆491Updated 2 months ago
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆106Updated 4 months ago
• mitmath / 18338
  ☆102Updated last week
• JmlrOrg / jmlr-style-file
  LaTeX style file for the Journal of Machine Learning Research
  ☆154Updated last year
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆34Updated 2 years ago
• diffprog / diffprog.github.io
  Website for the book "The Elements of Differentiable Programming".
  ☆14Updated 3 months ago
• AccelerationMethods / AccelerationMonograph
  ☆12Updated 3 years ago
• gwgundersen / blog-theme
  Files needed to replicate my research blog
  ☆87Updated 11 months ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆45Updated last year
• YinTat / optimizationbook
  ☆145Updated 4 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆141Updated 2 weeks ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 5 months ago
• sisl / NeuralVerification.jl
  Methods to soundly verify deep neural networks
  ☆232Updated 5 months ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆156Updated 11 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆115Updated last week
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆52Updated last year
• pilancilab / convex_nn
  ☆16Updated 4 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆129Updated 3 weeks ago
• vtjeng / MIPVerify.jl
  Evaluating Robustness of Neural Networks with Mixed Integer Programming
  ☆117Updated 2 weeks ago
• QB3 / sparse-ho
  Fast hyperparameter settings for non-smooth estimators:
  ☆40Updated 2 years ago
• google-research / FirstOrderLp.jl
  Experimental first-order solvers for linear and quadratic programming.
  ☆119Updated last year