A library of scalable Bayesian generalised linear models with fancy features
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Sep 7, 2017 - Python
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fourier-features
Here are 18 public repositories matching this topic...
Image classification using SVM, KNN, Bayes, Adaboost, Random Forest and CNN.Extracting features and reducting feature dimension using T-SNE, PCA, LDA.
machine-learning random-forest pca image-classification t-sne lda bayes-classifier svm-classifier fourier-features knn-classification cnn-classification sift-features adaboost-algorithm
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Aug 12, 2020 - Python
Unofficial pytorch implementation of the paper "Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding", NeurIPS 2021.
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Apr 24, 2024 - Python
AG-MAE: Anatomically Guided Spatio-Temporal Masked Auto-Encoder for Online Hand Gesture Recognition
pytorch fourier-features hand-gesture-recognition self-supervised-learning stgcn shrec masked-autoencoder anatomical-constraints online-gesture-recognition
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Apr 16, 2025 - Python
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-neural-networks deep-learning point-cloud surface-reconstruction rendering-3d-graphics perimeter fourier-features modica-mortola
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Mar 29, 2023 - Python
Incremental Sparse Spectrum Gaussian Process Regression
machine-learning linear-regression regression fourier-features gaussian-process model-learning random-fourier-features incremental-regression random-fourier
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Apr 24, 2021 - C++
Sparse spectrum Gaussian process regression
pytorch gaussian-processes fourier-features sparse-gaussian-processes sparse-spectrum-gaussian-process
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Feb 11, 2020 - Python
SCFGP: Sparsely Correlated Fourier Features Based Gaussian Process
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Feb 11, 2018 - Python
Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.
python machine-learning deep-learning time-series neural-network regression pytorch transformer lstm kaggle-competition darts arima statsmodels hybrid-model fourier-features time-series-analysis exponential-smoothing stl-decomposition quarto time-series-forecasting
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May 19, 2023 - Python
Forecasting Store Sales for Improved Decision-Making Using Machine Learning for Time Series Data
acf white-noise fourier-features moving-average-plots seasonal-plots periodograms seasonal-indicators determinist-process
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Feb 11, 2024 - Jupyter Notebook
Neural Fields for Sea Surface Height Interpolation.
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Nov 17, 2023
Tensorflow 2.0 implementation of fourier feature mapping networks.
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Dec 10, 2020 - Python
O E-COMPRESS é um sistema híbrido de compressão de arquivos que combina redes neurais supervisionadas com técnicas tradicionais como gzip e validação de integridade por CRC e ECC. Ele segmenta arquivos em blocos independentes, codifica cada um com Fourier Features e redes MLP, e reconstrói com alta fidelidade.
compression ai deep-learning ecc neural-networks crc mlp neural crc32 hints fourier-features hybrid-compression blockwise-models
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Jul 27, 2025 - Python
An implementation of Fourier feature mapping method using TensorFlow 2.3
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Nov 26, 2020 - Python
Image regression experiments with random fourier feature mapping using PyTorch
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Jun 24, 2024 - Jupyter Notebook
A Modern Spin on Ptolemy's Geocentric Universe Model
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Aug 6, 2021 - Jupyter Notebook
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)
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Apr 20, 2025 - Jupyter Notebook
Visualizing function fittings
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Nov 30, 2024 - Python
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