Sketched linear operations for PyTorch
☆101Oct 24, 2025Updated 6 months ago
Alternatives and similar repositories for skerch
Users that are interested in skerch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 2 years ago
- Laplace approximations in JAX.☆45Mar 25, 2026Updated last month
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Nov 7, 2022Updated 3 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆65Updated this week
- Computation-Aware Kalman Filtering and RTS Smoothing☆19Mar 6, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A package for computing matrix exponentials and finite horizon Gramians☆11Jan 21, 2026Updated 3 months ago
- PyTorch implementation of the Hessian-free optimizer☆36Jun 14, 2024Updated last year
- This is an implementation of the paper "Are We Done with Object-Centric Learning?"☆12Apr 12, 2026Updated 3 weeks ago
- Integrals of Gaussians under linear domain constraints☆15Feb 27, 2020Updated 6 years ago
- Probabilistic Numerics in Python.☆460Jul 3, 2025Updated 10 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆34Apr 26, 2024Updated 2 years ago
- ☆16Apr 26, 2023Updated 3 years ago
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆738Mar 24, 2026Updated last month
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Jul 20, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆21Feb 25, 2023Updated 3 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- ONSETS&VELOCITIES real-time piano detection - Python demo [EUSIPCO2023]☆22Sep 5, 2023Updated 2 years ago
- ☆35Dec 15, 2025Updated 4 months ago
- Large-scale uncertainty benchmark in deep learning.☆65May 10, 2025Updated 11 months ago
- Convolutions and more as einsum for PyTorch☆18Jun 6, 2024Updated last year
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆13Apr 20, 2026Updated 2 weeks ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆611Nov 28, 2025Updated 5 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Collaborative retina modelling across datasets and species.☆19Apr 10, 2026Updated 3 weeks ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆228Mar 29, 2024Updated 2 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆42Aug 21, 2024Updated last year
- Modular Gaussian Processes☆16Dec 9, 2021Updated 4 years ago
- Physics-Enhanced Regression for Initial Value Problems☆20Feb 7, 2024Updated 2 years ago
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆24Nov 4, 2024Updated last year
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Apr 12, 2023Updated 3 years ago
- Code for "A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences"☆16Feb 24, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ICCV 2023] Going Beyond Nouns With Vision & Language Models Using Synthetic Data☆13Sep 30, 2023Updated 2 years ago
- Concept Learning Dynamics☆16Oct 29, 2024Updated last year
- Approximate Minimum Degree Ordering in Julia☆23Dec 13, 2024Updated last year
- Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)☆39Jan 23, 2024Updated 2 years ago
- A Python library for variational inference with normalizing flow and annealing☆15Mar 13, 2025Updated last year
- Laplace approximations for Deep Learning.☆542Apr 22, 2025Updated last year
- ☆12Feb 19, 2025Updated last year