{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
☆221Feb 9, 2026Updated 3 weeks ago
Alternatives and similar repositories for nngeometry
Users that are interested in nngeometry are comparing it to the libraries listed below
Sorting:
- Example code for the NNGeometry PyTorch library☆10Aug 20, 2025Updated 6 months ago
- Limitations of the Empirical Fisher Approximation☆49Mar 3, 2025Updated last year
- Distributed K-FAC preconditioner for PyTorch☆95Feb 25, 2026Updated last week
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆143May 26, 2019Updated 6 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆606Nov 28, 2025Updated 3 months ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 5 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆133Jul 2, 2019Updated 6 years ago
- Laplace approximations for Deep Learning.☆535Apr 22, 2025Updated 10 months ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆777Jul 10, 2025Updated 7 months ago
- Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features☆13Feb 14, 2022Updated 4 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Jun 14, 2018Updated 7 years ago
- ☆68Mar 15, 2019Updated 6 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Oct 1, 2023Updated 2 years ago
- Constrained optimization toolkit for PyTorch☆706Jul 29, 2025Updated 7 months ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆23Jul 15, 2022Updated 3 years ago
- PyTorch implementation of the ExStream method from our ICRA-2019 paper "Memory Efficient Experience Replay for Streaming Learning"☆22Nov 26, 2019Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆153Jun 22, 2023Updated 2 years ago
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆32Apr 14, 2020Updated 5 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆47Mar 24, 2023Updated 2 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆283Feb 27, 2023Updated 3 years ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Mar 8, 2021Updated 4 years ago
- LISA for ICML 2022☆52Apr 12, 2023Updated 2 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,377Mar 1, 2024Updated 2 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆191Dec 5, 2024Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆110Aug 26, 2020Updated 5 years ago
- ☆133Mar 23, 2021Updated 4 years ago
- ☆31Oct 13, 2021Updated 4 years ago
- PyTorch implementation of FIM and empirical FIM☆60Jul 10, 2018Updated 7 years ago
- Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".☆30Jan 24, 2023Updated 3 years ago
- Pytorch implementation of neural processes and variants☆30Jul 25, 2024Updated last year
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆314Feb 25, 2026Updated last week
- ☆63Jan 13, 2022Updated 4 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Nov 28, 2022Updated 3 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆63Feb 16, 2026Updated 2 weeks ago
- Code for "Can We Characterize Tasks Without Labels or Features?" (CVPR 2021)☆11Aug 31, 2021Updated 4 years ago
- GAN(TK)²: GAN Neural Tangent Kernel ToolKit☆13Jul 12, 2022Updated 3 years ago
- ☆11Feb 14, 2022Updated 4 years ago
- Benchmark for Lifelong learning research☆118Aug 16, 2021Updated 4 years ago
- 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