f-dangel / vivitLinks
[TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivatives & Newton steps
☆17Updated 2 years ago
Alternatives and similar repositories for vivit
Users that are interested in vivit are comparing it to the libraries listed below
Sorting:
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆22Updated 9 months ago
- Sketched matrix decompositions for PyTorch☆70Updated last week
- Convolutions and more as einsum for PyTorch☆17Updated last year
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated 7 months ago
- Normalizing Flows using JAX☆84Updated last year
- ☆15Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Riemannian Optimization Using JAX☆51Updated last year
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Updated 3 years ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 2 years ago
- Multiple dispatch over abstract array types in JAX.☆127Updated last month
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆80Updated last year
- A Python package of computer vision models for the Equinox ecosystem.☆107Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 8 months ago
- ☆60Updated 3 years ago
- Running Jax in PyTorch Lightning☆111Updated 7 months ago
- Matrix-free linear algebra in JAX.☆133Updated last week
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Agustinus' very opiniated publication-ready plotting library☆67Updated 3 months ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆179Updated 2 weeks ago
- RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation☆8Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated last year
- Convex potential flows☆83Updated 3 years ago
- Stencil computations in JAX☆71Updated last year
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated last year
- Parameter-Free Optimizers for Pytorch☆130Updated last year