f-dangel / singd
[ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)
☆21Updated 2 months ago
Alternatives and similar repositories for singd:
Users that are interested in singd are comparing it to the libraries listed below
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year
- ☆15Updated last year
- [ICML 2024] SIRFShampoo: Structured inverse- and root-free Shampoo in PyTorch (https://arxiv.org/abs/2402.03496)☆14Updated 2 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆25Updated 2 weeks ago
- Transformers with doubly stochastic attention☆44Updated 2 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆72Updated 6 months ago
- An implementation of PSGD Kron second-order optimizer for PyTorch☆29Updated 3 weeks ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆27Updated 3 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated last year
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆43Updated 3 years ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆24Updated last year
- ☆50Updated 3 months ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆154Updated last month
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆59Updated 4 months ago
- ☆11Updated 2 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆44Updated last year
- Sketched matrix decompositions for PyTorch☆69Updated this week
- ☆63Updated last month
- Riemannian Optimization Using JAX☆48Updated last year
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆33Updated last year
- ☆16Updated 7 months ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆35Updated 2 years ago
- ☆29Updated 3 months ago
- Laplace approximated BNN surrogate for BoTorch☆8Updated 2 months ago
- Open source code for EigenGame.☆30Updated last year
- ☆13Updated 2 years ago
- Convex potential flows☆82Updated 3 years ago