fourier-features

There are 0 repository under fourier-features topic.

NICTA / revrand
A library of scalable Bayesian generalised linear models with fancy features
bayesian-inference fourier-features gaussian-processes generalized-linear-models regression
Language:Python 60
JHLew / Learnable-Fourier-Features
Unofficial pytorch implementation of the paper "Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding", NeurIPS 2021.
fourier-features neurips-2021 positional-encoding
Language:Python 13
lesleyping / Machine-Learning
Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-SNE, PCA, LDA.
machine-learning t-sne pca lda image-classification adaboost-algorithm random-forest svm-classifier knn-classification bayes-classifier cnn-classification sift-features fourier-features
Language:Python 13
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
o-ikne / AG-MAE
AG-MAE: Anatomically Guided Spatio-Temporal Masked Auto-Encoder for Online Hand Gesture Recognition
anatomical-constraints fourier-features hand-gesture-recognition masked-autoencoder online-gesture-recognition pytorch self-supervised-learning shrec stgcn
Language:Python 5
Yannick-Kees / Learning-geometric-phase-field-representations
Implementation of two phase field approaches for the surface reconstruction problem. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli | Master Thesis
deep-learning deep-neural-networks surface-reconstruction point-cloud perimeter fourier-features rendering-3d-graphics modica-mortola
Language:Python 5
rafaol / ssgp
Sparse spectrum Gaussian process regression
fourier-features gaussian-processes pytorch sparse-gaussian-processes sparse-spectrum-gaussian-process
Language:Python 4
MaxInGaussian / SCFGP
SCFGP: Sparsely Correlated Fourier Features Based Gaussian Process
fourier-features gaussian-processes covariance-matrix frequency-matrix
Language:Python 3
AhmetZamanis / KaggleStoreSales
Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.
arima darts exponential-smoothing fourier-features hybrid-model python quarto regression statsmodels time-series time-series-analysis time-series-forecasting machine-learning deep-learning kaggle-competition lstm neural-network pytorch stl-decomposition transformer
Language:Python 2
modelMaestroSolo / Store-Sales-Time-Series-Forecasting
Forecasting Store Sales for Improved Decision-Making Using Machine Learning for Time Series Data
acf fourier-features white-noise determinist-process moving-average-plots periodograms seasonal-indicators seasonal-plots
Language:Jupyter Notebook 2
jejjohnson / nerf4ssh
Neural Fields for Sea Surface Height Interpolation.
fourier-features interpolation machine-learning neural-fields oceanography sea-surface-height siren
1
Samyak2 / fourier-dnn
Tensorflow 2.0 implementation of fourier feature mapping networks.
tensorflow fourier-features
Language:Python 1
alexali04 / function_fitting
Visualizing function fittings
fourier-features neural-networks visualization
Language:Python 0
gdao-research / FourierFeatureMapping
An implementation of Fourier feature mapping method using TensorFlow 2.3
tensorflow2 fourier-features
Language:Python 0
KristofPusztai / CS-289-Final-Project
A Modern Spin on Ptolemy's Geocentric Universe Model
space fourier-features machine-learning-algorithms
Language:Jupyter Notebook 0
PiotrWolinski / image-regression-with-fourier-features
Image regression experiments with random fourier feature mapping using PyTorch
fourier-features machine-learning pytorch
Language:Jupyter Notebook 0
SaniyaAbushakimova / Coordinate-Based-Image-Reconstruction
This project implements coordinate-based neural networks from scratch in NumPy to reconstruct low- and high-resolution images by mapping 2D pixel coordinates to RGB values. It explores input encoding strategies—none, basic, and Gaussian Fourier features—to evaluate their impact on image quality and detail. Tech: Python (numpy, cv2, os)
computer-vision deep-learning fourier-features image-reconstruction psnr
Language:Jupyter Notebook

fourier-features

NICTA / revrand

JHLew / Learnable-Fourier-Features

lesleyping / Machine-Learning

alspitz / issgpr

o-ikne / AG-MAE

Yannick-Kees / Learning-geometric-phase-field-representations

rafaol / ssgp

MaxInGaussian / SCFGP

AhmetZamanis / KaggleStoreSales

modelMaestroSolo / Store-Sales-Time-Series-Forecasting

jejjohnson / nerf4ssh

Samyak2 / fourier-dnn

alexali04 / function_fitting

gdao-research / FourierFeatureMapping

KristofPusztai / CS-289-Final-Project

PiotrWolinski / image-regression-with-fourier-features

SaniyaAbushakimova / Coordinate-Based-Image-Reconstruction