andres-fr / skerch
Sketched matrix decompositions for PyTorch
☆70Updated this week
Alternatives and similar repositories for skerch:
Users that are interested in skerch are comparing it to the libraries listed below
- IVON optimizer for neural networks based on variational learning.☆62Updated 5 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆36Updated last week
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Agustinus' very opiniated publication-ready plotting library☆64Updated 2 months ago
- Squared Non-monotonic Probabilistic Circuits☆22Updated 3 months ago
- Algorithms for computations on random manifolds made easier☆90Updated last year
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆99Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Convex potential flows☆83Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- ☆64Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆115Updated 3 weeks ago
- Riemannian Optimization Using JAX☆48Updated last year
- Normalizing Flows using JAX☆83Updated last year
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- Code for the paper: Complex-Valued Autoencoders for Object Discovery☆50Updated 2 years ago
- Transformers with doubly stochastic attention☆45Updated 2 years ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆185Updated 4 months ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 9 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 6 months ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- ☆53Updated 9 months ago