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.

Efficient approximate Bayesian machine learning

Incremental Sparse Spectrum Gaussian Process Regression

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

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

[AISTATS 2023] Error Estimation for Random Fourier Features

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

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.

Image reconstruction using matrix factorization involves decomposing an image matrix into two or more lower-dimensional matrices whose product approximates the original matrix. This technique is useful because it leverages the inherent structure and patterns within the image data, allowing for more efficient storage and noise reduction.

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

LINMA2472: Algorithms in Data Science

Mini-course for Elizabeth Liu