Alternatives and similar repositories for parameterfree:

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

• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆32Updated this week
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆61Updated last month
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆112Updated 2 weeks ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆97Updated 10 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆48Updated last year
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆61Updated 2 weeks ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆183Updated 2 months ago
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆59Updated 3 months ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆211Updated this week
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆121Updated 4 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆107Updated 2 years ago
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆168Updated 2 months ago
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆75Updated 4 months ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆41Updated last year
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆85Updated last month
• paganpasta / eqxvision
  A Python package of computer vision models for the Equinox ecosystem.
  ☆104Updated 7 months ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆89Updated last year
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆45Updated last year
• xl0 / lovely-jax
  JAX Arrays for human consumption
  ☆90Updated last year
• konstantinos-p / Bayesian-Neural-Networks-Reading-List
  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…
  ☆52Updated last year
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆130Updated 5 years ago
• cgarciae / ciclo
  A functional training loops library for JAX
  ☆86Updated last year
• MichaelArbel / GeneralizedEBM
  ☆53Updated 7 months ago
• formll / dog
  DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
  ☆59Updated last year
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated 9 months ago
• locuslab / edge-of-stability
  ☆65Updated 2 months ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• patrick-kidger / quax
  Multiple dispatch over abstract array types in JAX.
  ☆114Updated last week