random-fourier-features

There are 1 repository under random-fourier-features topic.

Kaslanarian / PySVM
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
svm svm-classifier svm-regressor svm-kernel machine-learning one-class-svm python random-fourier-features
Language:Python 27
jlt
dell / jlt
Johnson-Lindenstrauss transform (JLT), random projections (RP), fast Johnson-Lindenstrauss transform (FJLT), and randomized Hadamard transform (RHT) in python 3.x
dimensionality-reduction projection random-projections hadamard-transforms johnson-lindenstrauss jlt fast-johnson-lindenstrauss-transform johnson-lindenstrauss-transform srht fjlt rht random-fourier-features rff
Language:Python 19
nazgul
grburgess / nazgul
GRB triangulation via non-stationary time-series models
grb localization random-fourier-features non-parametric-inference time-series-analysis stan fermi
Language:Python 8
pyipn
grburgess / pyipn
A time-delayed light curve simulation code for GRB location triangulation via random Fourier features.
grb random-fourier-features ipn astronomy localization multi-messenger time-series-analysis poisson-process bayesian-inference stan
Language:Python 7
jlparkI / xGPR
Efficient approximate Bayesian machine learning
bayesian-machine-learning gaussian-processes machine-learning random-fourier-features
Language:Python 7
alspitz / issgpr
Incremental Sparse Spectrum Gaussian Process Regression
regression gaussian-process linear-regression incremental-regression model-learning machine-learning random-fourier random-fourier-features fourier-features
Language:C++ 5
jwyyy / bootstrappedRFF
[AISTATS 2023] Error Estimation for Random Fourier Features
bootstrap error-estimation random-fourier-features
Language:Python 5
fanghenshaometeor / GenerativeRFF
[Pattern Recognition 2023] End-to-end Kernel Learning via Generative Random Fourier Features
generative-models kernel-methods random-fourier-features
Language:Python 4
jyhong0304 / Visual-Relationship-Detection-RWFN
The official implementation of Randomly Weighted Feature Network for Visual Relationship Detection Tasks (CLeaR@AAAI2022)
first-order-logic visual-relationship-detection insect-neuroscience random-fourier-features
Language:Python 4
PavlicLab / AAAI2022-CLeaR2022-Visual_Relationship_Detection-RWFN
The official implementation of Randomly Weighted Feature Network for Visual Relationship Detection Tasks (CLeaR@AAAI2022)
first-order-logic random-fourier-features visual-relationship-detection insect-neuroscience
Language:Python 3
sverdoot / random-fourier-features-slam
Python implementation of the paper Random Fourier Features based SLAM (https://arxiv.org/pdf/2011.00594.pdf)
gaussian-processes random-fourier-features slam
Language:Jupyter Notebook 3
sparse-tinygp
edwarddramirez / sparse-tinygp
Bayesian inference using sparse gaussian processes from tinygp. Examples include 1D and 2D implementation.
gaussian-processes numpyro random-fourier-features reference-code scalability sparse-gaussian-processes svi tinygp tutorial
Language:Jupyter Notebook 2
bp0609 / Image-Reconstruction-using-Matrix-Factorization
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.
gradient-descent least-squares matrix-factorization random-fourier-features
Language:Jupyter Notebook 1
Mrugank97 / SuperRes-RFF
Advanced Image Enhancement and Data Recovery: Superresolution Techniques and Missing Data Handling
data-handling linear-regression random-fourier-features rmse super-resolution peak-snr
Language:Jupyter Notebook 1
heyjianjing / eliu_summer_2024
Mini-course for Elizabeth Liu
bayesian-linear-regression bayesian-optimization gaussian-processes gradient-descent hamiltonian-monte-carlo kernel-methods metropolis-algorithm nystrom-method random-fourier-features taylor-approximation bayesian-kernel-regression bayesian-marginalization laplace-method logistic-regression eigendecomposition
Language:Jupyter Notebook 0
SarraLKSC / LINMA2472
LINMA2472: Algorithms in Data Science
data-science social-network embeddings kpca random-fourier-features graph-algorithms
Language:Jupyter Notebook 0

random-fourier-features

Kaslanarian / PySVM

dell / jlt

grburgess / nazgul

grburgess / pyipn

jlparkI / xGPR

alspitz / issgpr

jwyyy / bootstrappedRFF

fanghenshaometeor / GenerativeRFF

jyhong0304 / Visual-Relationship-Detection-RWFN

PavlicLab / AAAI2022-CLeaR2022-Visual_Relationship_Detection-RWFN

sverdoot / random-fourier-features-slam

edwarddramirez / sparse-tinygp

bp0609 / Image-Reconstruction-using-Matrix-Factorization

Mrugank97 / SuperRes-RFF

heyjianjing / eliu_summer_2024

SarraLKSC / LINMA2472