Incremental Sparse Spectrum Gaussian Process Regression

The official implementation of Randomly Weighted Feature Network for Visual Relationship Detection Tasks (CLeaR@AAAI2022)

[AISTATS 2023] Error Estimation for Random Fourier Features

[Pattern Recognition 2023] End-to-end Kernel Learning via Generative Random Fourier Features

The official implementation of Randomly Weighted Feature Network for Visual Relationship Detection Tasks (CLeaR@AAAI2022)

Bayesian inference using sparse gaussian processes from tinygp. Examples include 1D and 2D implementation.

Advanced Image Enhancement and Data Recovery: Superresolution Techniques and Missing Data Handling

Python implementation of the paper Random Fourier Features based SLAM (https://arxiv.org/pdf/2011.00594.pdf)

LINMA2472: Algorithms in Data Science

Efficient approximate Bayesian machine learning

PySVM : A NumPy implementation of SVM based on SMO algorithm. Numpy构建SVM分类、回归与单分类，支持缓存机制与随机傅里叶特征

Johnson-Lindenstrauss transform (JLT), random projections (RP), fast Johnson-Lindenstrauss transform (FJLT), and randomized Hadamard transform (RHT) in python 3.x

GRB triangulation via non-stationary time-series models

A time-delayed light curve simulation code for GRB location triangulation via random Fourier features.