LINMA2472: Algorithms in Data Science

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

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

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

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

[AISTATS 2023] Error Estimation for Random Fourier Features

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

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

Incremental Sparse Spectrum Gaussian Process Regression

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

GRB triangulation via non-stationary time-series models

Efficient approximate Bayesian machine learning

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

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