BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
☆619Jul 17, 2026Updated 3 months ago
Alternatives and similar repositories for backpack
Users that are interested in backpack are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 3 years ago
- Limitations of the Empirical Fisher Approximation☆50Mar 3, 2025Updated last year
- This repository is no longer maintained. Check☆81Apr 23, 2020Updated 6 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆193Dec 5, 2024Updated last year
- Laplace approximations for Deep Learning.☆551Updated this week
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆24Nov 4, 2024Updated last year
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆150Oct 1, 2023Updated 3 years ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,434Aug 21, 2025Updated last year
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,624Mar 25, 2022Updated 4 years ago
- ☆33May 21, 2020Updated 6 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆71Jul 17, 2026Updated 3 months ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆491Jul 1, 2022Updated 4 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆22Mar 25, 2023Updated 3 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆154Jun 22, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆225Oct 13, 2026Updated 2 weeks ago
- Efficient PyTorch Hessian eigendecomposition tools!☆475Oct 23, 2026Updated last week
- Distributed K-FAC preconditioner for PyTorch☆98Updated this week
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆135Jul 2, 2019Updated 7 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆758Oct 12, 2026Updated 2 weeks ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆332Oct 13, 2026Updated 2 weeks ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆15May 8, 2023Updated 3 years ago
- Probabilistic Numerics in Python.☆463Jul 3, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆795Jul 10, 2025Updated last year
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,931Oct 2, 2026Updated 3 weeks ago
- Official Code for Invertible Residual Networks☆535Jul 28, 2024Updated 2 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,194Jul 17, 2026Updated 3 months ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,172Mar 22, 2024Updated 2 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆182Jul 17, 2021Updated 5 years ago
- A PyTorch implementation of L-BFGS.☆632Feb 21, 2023Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models☆812Jul 4, 2022Updated 4 years ago
- An implementation of KFAC for TensorFlow☆198Feb 11, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆658Oct 20, 2026Updated last week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,627Aug 26, 2026Updated 2 months ago
- ☆32Feb 11, 2021Updated 5 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆285Feb 27, 2023Updated 3 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,582May 2, 2024Updated 2 years ago
- Bayesian optimization in PyTorch☆3,642Updated this week
- Hessian trace estimation using PyTorch and Hutch++☆20Oct 29, 2020Updated 6 years ago