Alternatives and similar repositories for backpack

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

• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆377Updated last year
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆517Updated 4 months ago
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆279Updated 2 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆697Updated last month
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆215Updated this week
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆189Updated 9 months ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆457Updated last year
• cybertronai / autograd-hacks
  ☆157Updated 3 years ago
• google-research / robustness_metrics
  ☆469Updated 4 months ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆480Updated 3 years ago
• izmailovpavel / understandingbdl
  ☆243Updated 2 years ago
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,125Updated 2 weeks ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆147Updated last year
• amirgholami / PyHessian
  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
  ☆756Updated 2 months ago
• wjmaddox / swa_gaussian
  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
  ☆472Updated 2 years ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆608Updated last year
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated 2 months ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆124Updated 5 years ago
• thegregyang / GP4A
  Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…
  ☆246Updated 5 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆758Updated 3 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆150Updated 4 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆425Updated 2 years ago
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 4 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆613Updated 2 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆191Updated last month
• Thrandis / EKFAC-pytorch
  Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
  ☆146Updated 2 years ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆992Updated 5 months ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆638Updated 2 weeks ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆877Updated 5 years ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,438Updated 3 weeks ago