andres-fr / skerchLinks
Sketched linear operations for PyTorch
☆71Updated this week
Alternatives and similar repositories for skerch
Users that are interested in skerch are comparing it to the libraries listed below
Sorting:
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 5 months ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Algorithms for computations on random manifolds made easier☆94Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆142Updated 4 months ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated 2 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆190Updated 10 months ago
- IVON optimizer for neural networks based on variational learning.☆72Updated 11 months ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆44Updated last week
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Riemannian Optimization Using JAX☆53Updated last year
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆41Updated 4 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆81Updated last year
- Convex potential flows☆84Updated 3 years ago
- Large-scale, multi-GPU capable, kernel solver☆191Updated 2 months ago
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆88Updated last month
- Normalizing Flows using JAX☆84Updated last year
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- A generic interface for linear algebra backends☆73Updated 7 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 2 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- ☆26Updated last week
- Transformers with doubly stochastic attention☆48Updated 3 years ago
- ☆51Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Tutorial on amortized optimization for learning to optimize over continuous domains☆244Updated this week