Large-scale, multi-GPU capable, kernel solver
☆197Jul 17, 2025Updated 8 months ago
Alternatives and similar repositories for falkon
Users that are interested in falkon are comparing it to the libraries listed below
Sorting:
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆30Oct 15, 2020Updated 5 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,162Feb 6, 2026Updated last month
- This repository contains an implementation of the Batch-BKB algorithm as described in the ICML 2020 paper "Near-linear time Gaussian proc…☆13Jul 14, 2020Updated 5 years ago
- ☆12Jun 24, 2021Updated 4 years ago
- iDynFor☆16Mar 14, 2024Updated 2 years ago
- ☆11Oct 11, 2024Updated last year
- A Python package to learn the Koopman operator.☆72Feb 28, 2026Updated 2 weeks ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 2 years ago
- EigenPro2 iteration in Tensorflow (Keras)☆23Feb 21, 2019Updated 7 years ago
- Python package to fetch data from the LIBSVM website.☆20Feb 25, 2026Updated 3 weeks ago
- A community repository for benchmarking Bayesian methods☆112Nov 29, 2021Updated 4 years ago
- Fast Gaussian-process inference using Vecchia approximations☆22Jan 29, 2026Updated last month
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 2 years ago
- MMD-FUSE package implementing the MMD-FUSE test proposed in MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data …☆11May 31, 2024Updated last year
- ☆23Jan 25, 2024Updated 2 years ago
- ☆40Apr 29, 2019Updated 6 years ago
- Regularization, Neural Network Training Dynamics☆14Jan 13, 2020Updated 6 years ago
- ☆172Jul 30, 2024Updated last year
- ☆14Jun 7, 2023Updated 2 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆123Mar 4, 2026Updated 2 weeks ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Nov 22, 2022Updated 3 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Apr 28, 2020Updated 5 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆17Nov 20, 2019Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Jan 12, 2019Updated 7 years ago
- Software dev. for data science (Python)☆15May 1, 2025Updated 10 months ago
- El0ps: An Exact L0-Problem Solver☆13Jan 6, 2026Updated 2 months ago
- Gaussian processes in JAX and Flax.☆602Updated this week
- ☆18Dec 31, 2018Updated 7 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- FlashSim: A Deep Learning Solution to the HEP simulation problem☆12Feb 28, 2025Updated last year
- CKN for images☆17Sep 10, 2019Updated 6 years ago
- A framework for reproducible, comparable benchmarks☆300Updated this week
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Oct 16, 2024Updated last year
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,850Mar 12, 2026Updated last week
- A simple adversarial attack on a linear model☆21Apr 25, 2019Updated 6 years ago
- Learning with Partial Supervision☆10Sep 21, 2023Updated 2 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,030Dec 17, 2025Updated 3 months ago
- Notebooks from DS3 course on practical optimization☆15Jan 5, 2021Updated 5 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago