Alternatives and similar repositories for parameterfree

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

• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆151Updated 2 months ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆191Updated last week
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆70Updated 8 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 3 years ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆191Updated last year
• wilson-labs / cola
  Compositional Linear Algebra
  ☆505Updated 5 months ago
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆110Updated last year
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆380Updated 2 weeks ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated 2 years ago
• andres-fr / skerch
  Sketched linear operations for PyTorch
  ☆100Updated 2 months ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆310Updated last week
• google-deepmind / eigengame
  Open source code for EigenGame.
  ☆34Updated 2 years ago
• facebookresearch / amortized-optimization-tutorial
  Tutorial on amortized optimization for learning to optimize over continuous domains
  ☆248Updated 3 months ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆217Updated last month
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆62Updated this week
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆80Updated last year
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 3 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆197Updated 6 months ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆124Updated 5 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated 2 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆91Updated last year
• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆118Updated last year
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆56Updated 4 months ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• google-deepmind / neural_testbed
  ☆194Updated last week
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆165Updated last year
• microsoft / goodpoints
  A Python package for generating concise, high-quality summaries of a probability distribution
  ☆57Updated 2 months ago
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆106Updated last week
• formll / dog
  DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
  ☆63Updated 2 years ago