Code for random Fourier features based on Rahimi and Recht's 2007 paper.
☆61Dec 21, 2020Updated 5 years ago
Alternatives and similar repositories for random-fourier-features
Users that are interested in random-fourier-features are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆109Oct 29, 2024Updated last year
- Visualization of mean field and neural tangent kernel regime☆23Jul 25, 2024Updated 2 years ago
- Codes for Hilbert space reduced-rank GP regression☆15Jul 30, 2019Updated 7 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Aug 5, 2025Updated last year
- The MATLAB code below implements the second-order SPSA (simultaneous perturbation stochastic approximation) and second-order SG (stochast…☆13Nov 27, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Gaussian Process Regression for training data with noisy inputs and/or outputs☆10Mar 22, 2017Updated 9 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Mar 12, 2021Updated 5 years ago
- Implementations of various random kitchen sinks algorithms.☆14Feb 25, 2020Updated 6 years ago
- A library for random feature maps in Python.☆17Aug 27, 2020Updated 6 years ago
- A Python package for general relativity calculations.☆15Jun 10, 2026Updated 3 months ago
- blog☆20Updated this week
- ☆40Feb 28, 2025Updated last year
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- The released code of IRTNN algorithm, mainly proposed in the paper "Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery" pu…☆11May 6, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A minimal working example of Free-Form Jacobian of Reversible Dynamics☆15Dec 24, 2019Updated 6 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆15Oct 24, 2020Updated 5 years ago
- Perceiver (transformer variant) implemented in JAX and Flax☆13Mar 29, 2021Updated 5 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- Re-scoring a set of docked ligands with off-the-shelf algorithms to assess utility in virtual screening☆11Oct 13, 2021Updated 4 years ago
- Code for the paper: Kernel Distributionally Robust Optimization☆13Feb 21, 2021Updated 5 years ago
- Reference implementation of Optimistic Expected Improvement.☆50May 17, 2020Updated 6 years ago
- Gaussian process modeling in R☆16Nov 20, 2022Updated 3 years ago
- Accompanying code for our NeurIPS 2019 paper☆11Nov 7, 2019Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Variational Gaussian Process State-Space Models☆25Nov 10, 2015Updated 10 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆117May 6, 2019Updated 7 years ago
- Python Library for Generalized Gaussian Process Modeling☆28Aug 12, 2026Updated last month
- A weak supervision framework for (partial) labeling functions☆16Jul 15, 2024Updated 2 years ago
- [CVPR 2022] HINT: Hierarchical Neuron Concept Explainer☆19Apr 19, 2023Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- JMLR Cover Letter Template☆10Dec 15, 2021Updated 4 years ago
- Batch and incremental Sparse Spectrum Gaussian Process for Regression☆10Mar 16, 2021Updated 5 years ago
- An implementation of Adams & MacKay 2007 "Bayesian Online Changepoint Detection"☆32Jul 28, 2014Updated 12 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…☆16Aug 4, 2017Updated 9 years ago
- Sparse Spectrum Gaussian Process Regression☆25Feb 26, 2020Updated 6 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- ☆11Feb 6, 2018Updated 8 years ago
- The Python PSDD Package☆18Jul 20, 2025Updated last year
- ☆12Oct 7, 2020Updated 5 years ago