Alternatives and similar repositories for backpack

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

• f-dangel / backpack

  View on GitHub
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆604Nov 28, 2025Updated 2 months ago
• PrincetonLIPS / randomized_telescopes

  View on GitHub
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27May 13, 2019Updated 6 years ago
• gd-zhang / Weight-Decay

  View on GitHub
  Regularization, Neural Network Training Dynamics
  ☆14Jan 13, 2020Updated 6 years ago
• fKunstner / limitations-empirical-fisher

  View on GitHub
  Limitations of the Empirical Fisher Approximation
  ☆49Mar 3, 2025Updated 11 months ago
• renmengye / meta-optim-public

  View on GitHub
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Mar 8, 2018Updated 7 years ago
• noahgolmant / pytorch-hessian-eigenthings

  View on GitHub
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆384Feb 29, 2024Updated last year
• wellecks / vaes

  View on GitHub
  Variational Autoencoders & Normalizing Flows Project
  ☆18Dec 16, 2016Updated 9 years ago
• gd-zhang / Follow-the-Ridge

  View on GitHub
  Minimax Optimization, Stackelberg Games, Generative Adversarial Networks
  ☆19Feb 14, 2020Updated 6 years ago
• rgrosse / csc2541_examples

  View on GitHub
  ☆30Feb 11, 2021Updated 5 years ago
• seba-1511 / igt.pth

  View on GitHub
  Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19
  ☆21Jun 11, 2019Updated 6 years ago
• Runjing-Liu120 / RaoBlackwellizedSGD

  View on GitHub
  A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
  ☆22May 5, 2019Updated 6 years ago
• cybertronai / pytorch-sso

  View on GitHub
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆148Oct 1, 2023Updated 2 years ago
• mariogeiger / hessian

  View on GitHub
  hessian in pytorch
  ☆187Oct 27, 2020Updated 5 years ago
• tensorflow / kfac

  View on GitHub
  An implementation of KFAC for TensorFlow
  ☆199Feb 11, 2022Updated 4 years ago
• jiamings / ais

  View on GitHub
  Annealed Importance Sampling (AIS) for generative models.
  ☆16Jul 20, 2018Updated 7 years ago
• Bonnevie / rebar

  View on GitHub
  A Python implementation of the gradient REBAR estimator.
  ☆47Jun 13, 2018Updated 7 years ago
• gd-zhang / noisy-K-FAC

  View on GitHub
  Natural Gradient, Variational Inference
  ☆29Jan 13, 2020Updated 6 years ago
• asteroidhouse / self-tuning-networks

  View on GitHub
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆61Jun 18, 2019Updated 6 years ago
• harvardnlp / strux

  View on GitHub
  ☆18Mar 20, 2022Updated 3 years ago
• Thrandis / EKFAC-pytorch

  View on GitHub
  Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
  ☆152Jun 22, 2023Updated 2 years ago
• ssydasheng / FBNN

  View on GitHub
  Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
  ☆86Jul 19, 2020Updated 5 years ago
• jrbtaylor / conditional-pixelcnn

  View on GitHub
  A PyTorch implementation of Conditional PixelCNNs
  ☆27Jan 24, 2018Updated 8 years ago
• kangxue / COALESCE

  View on GitHub
  ☆15May 12, 2022Updated 3 years ago
• alecwangcq / KFAC-Pytorch

  View on GitHub
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆132Jul 2, 2019Updated 6 years ago
• li-js / gpu_memory_profiling

  View on GitHub
  Profile the GPU memory usage of every line in a Pytorch code
  ☆83Jun 13, 2018Updated 7 years ago
• ericjang / maml-jax

  View on GitHub
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Sep 28, 2022Updated 3 years ago
• shaoweinuaa / HM2TFS

  View on GitHub
  Hyper-graph based Multi-task Feature Selection for Multi-modal Classification of Alzheimer's Disease
  ☆12Jun 10, 2019Updated 6 years ago
• jliang993 / A3DMM

  View on GitHub
  Source code for paper "Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration" of NeurIPS 2019
  ☆10Jan 25, 2024Updated 2 years ago
• lrjconan / GRAN

  View on GitHub
  Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
  ☆479Aug 3, 2023Updated 2 years ago
• alecwangcq / EigenDamage-Pytorch

  View on GitHub
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆113Mar 3, 2020Updated 5 years ago
• facebookresearch / higher

  View on GitHub
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,627Mar 25, 2022Updated 3 years ago
• pytorch / contrib

  View on GitHub
  Implementations of ideas from recent papers
  ☆392Dec 22, 2020Updated 5 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning

  View on GitHub
  Matlab code implementing Minimum Probability Flow Learning.
  ☆70Sep 17, 2014Updated 11 years ago
• srush / parallax

  View on GitHub
  ☆153May 25, 2020Updated 5 years ago
• joschu / jax-exp

  View on GitHub
  ☆24Feb 3, 2019Updated 7 years ago
• f-dangel / hbp

  View on GitHub
  Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations
  ☆21Mar 25, 2023Updated 2 years ago
• twmitchel / MobiusConv

  View on GitHub
  Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
  ☆26May 31, 2024Updated last year
• isaacdevlugt / GreNADE

  View on GitHub
  Groundstate Reconstructive Energies using Neural Autoregressive Distribution Estimators (GreNADE)
  ☆10Apr 1, 2022Updated 3 years ago
• Roger-luo / BatchedRoutines.jl

  View on GitHub
  Batched routines (BLAS, LAPACK, etc.) for multi-dimensional arrays
  ☆12Apr 10, 2022Updated 3 years ago