GitHub topics: fourier-features
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)
Language: Jupyter Notebook - Size: 24.5 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0
NICTA/revrand
A library of scalable Bayesian generalised linear models with fancy features
Language: Python - Size: 82.9 MB - Last synced at: 6 days ago - Pushed at: over 7 years ago - Stars: 60 - Forks: 14
AhmetZamanis/KaggleStoreSales
Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.
Language: Python - Size: 91.7 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
alexali04/function_fitting
Visualizing function fittings
Language: Python - Size: 61.6 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
lambda-xyz-01/AGMAE
AG-MAE: Anatomically Guided Spatio-Temporal Masked Auto-Encoder for Online Hand Gesture Recognition
Language: Python - Size: 1.37 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
JHLew/Learnable-Fourier-Features
Unofficial pytorch implementation of the paper "Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding", NeurIPS 2021.
Language: Python - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 0
modelMaestroSolo/Store-Sales-Time-Series-Forecasting
Forecasting Store Sales for Improved Decision-Making Using Machine Learning for Time Series Data
Language: Jupyter Notebook - Size: 19 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
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
Language: Python - Size: 771 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0
MaxInGaussian/SCFGP
SCFGP: Sparsely Correlated Fourier Features Based Gaussian Process
Language: Python - Size: 36.2 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0
rafaol/ssgp
Sparse spectrum Gaussian process regression
Language: Python - Size: 206 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0
jejjohnson/nerf4ssh
Neural Fields for Sea Surface Height Interpolation.
Size: 27.2 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
KristofPusztai/CS-289-Final-Project Fork of mart5353/CS-289-Final-Project
A Modern Spin on Ptolemy's Geocentric Universe Model
Language: Jupyter Notebook - Size: 36.2 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
Samyak2/fourier-dnn
Tensorflow 2.0 implementation of fourier feature mapping networks.
Language: Python - Size: 915 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 3
alspitz/issgpr
Incremental Sparse Spectrum Gaussian Process Regression
Language: C++ - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0
