eigen-vector-decomposition

There are 0 repository under eigen-vector-decomposition topic.

EigenTrajectory
InhwanBae / EigenTrajectory
Official Code for "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting (ICCV 2023)"
deep-learning eigen-vector-decomposition singular-value-decomposition autonomous-vehicles human-trajectory-prediction iccv2023 motion-forecasting multi-agent
Language:Python 74
libmusic
dataandsignal / libmusic
Fast superresolution frequency detection using MUSIC algorithm
audio audio-processing amplitude-estimation dsp dtmf dtmf-detector frequency frequency-analysis frequency-estimation music signal-processing voip spectral-analysis spectral-methods eigen-vector-decomposition eigenvalueproblems spectral-method doa doa-estimation
Language:C 22
Dyalog / Math
Math workspace and libraries for Dyalog APL
dyalog-apl fftw lapack namespace math math-workspace mathematics fast-fourier-transform library dyalog-library eigenvalues eigen eigenvectors eigen-vector-decomposition
Language:APL 11
Francesco-Zeno-Costanzo / 4BLP
4 BREVI LEZIONI DI PYTHON, corso tenuto con con l'associazione italiana studenti di fisica, comitato locale di Pisa
introduction-to-programming introduction-to-python numerical-analysis numerical-methods python curve-fitting eigen-vector-decomposition machine-learning monte-carlo numerical-integration optimization-algorithms pde spline-interpolation
Language:Python 6
charlesdavid / JED
JED is a program for performing Essential Dynamics of protein trajectories written in Java. JED is a powerful tool for examining the dynamics of proteins from trajectories derived from MD or Geometric simulations. Currently, there are two types of PCA: distance-pair and Cartesian, and three models: COV, CORR, and PCORR.
pca-analysis subspace-identification covariance-matrix correlation-matrices essentialmode principal-components dynamical-modeling correlation-measures pymol free-energy kernel-density-estimation eigen-vector-decomposition
Language:HTML 5
libmusic_m
dataandsignal / libmusic_m
Signal space decomposition in MATLAB (MUSIC, Pisarenko, EV, Minimum Norm)
amplitude-estimation audio audio-processing dsp dtmf dtmf-detector frequency frequency-analysis frequency-estimation matlab music signal-processing video-processing voip spectral-analysis spectral-methods eigen-vector-decomposition eigenvectors doa doa-estimation
Language:MATLAB 2
AbhishekSalian / Principal-Component-Analysis
I have implemented this program from scratch to get better understanding of basics of PCA and mathematics behind this algorithm.
covariance-matrix dimensionality-reduction eigen-vector-decomposition feature-extraction jupyter-notebook machine-learning matplotlib principal-component-analysis python3 seaborn-plots
Language:Jupyter Notebook 1
chen0040 / java-matrix
Sparse-matrix implementation on linear algebra and matrix operations
matrix linear-algebra svd eigen-vector-decomposition qr-decomposition matrix-factorization
Language:Java 1
HillidatulIlmi / Learning-Journal-0
Introduction to Data Science, Probability, Statistics & Mathematics. This folder Learn the fundamentals of Python, NumPy, Pandas, and SQL for analyzing data. Draw conclusions from data with probability, descriptive and inferential statistics, and mathematics such as calculus and algebra. Data Visualization to create interactive dashboards.
conditional-statements data-science descriptive-statistics distributed eigen-vector-decomposition inferential-statistics loops matrix pandas pandas-basic probability solvingproblems sql vector visualization
Language:Jupyter Notebook 1
pareshg18 / Prinicple-Component-Analysis
How does PCA work?
correlation covariance-matrix dimensionality-reduction eigen-vector-decomposition eigenvalues eigenvectors iris-dataset pca principal-component-analysis transpose-matrix
Language:R 1
Vedant2311 / Numerical-Algorithms-Assignments
Compilation of the assignments of the course of COL726: Numerical Algorithms (Spring 2021) and their solutions
numerical-methods floating-point-accuracy-problems floating-point-arithmetic singular-value-decomposition qr-factorization lu-decomposition cholesky-decomposition newton-method eigen-vector-decomposition gram-schmidt gmres iterative-methods conjugate-gradient arnoldi-algorithm broyden-method
Language:Python 1
kittyvarghese / LINEAR_ALGEBRA-AND-RANDOM-PROCESSES
Following is an programming assignment on dimensionality reduction and Image Compression using Eigen Value Decomposition and Singular Value Decomposition
svd-matrix-factorisation eigen-vector-decomposition dimensionality-reduction assignments
Language:Jupyter Notebook 0
rchirravurivenkata / Face-Recognition
Elementary algorithm for face recognition using PCA
face-recognition-system image-classification principal-component-analysis eigenfaces eigen-vector-decomposition singular-value-decomposition rprogramming
Language:R 0
rezazzr / GVF_SR_reinforcement_learning
ai artificial-intelligence eigen-vector-decomposition frozenlake general-value-functions reinforcement-learning successor-representation
Language:Jupyter Notebook 0
chen0040 / js-matrix
Sparse Matrix and Linear Algebra in Javascript
sparse-vector sparse-matrix linear-algebra matrix-inversion qr-decomposition eigen-vector-decomposition svd javascript-library
Language:JavaScript
GeoBosh / mcompanion
R package for multi-companion matrices with methods for generation of models with given spectral properties
eigen-vector-decomposition matrices periodic r time-series
Language:R
jpthanga / Source-Separation-Using-Power-Iteration
Toy Example of Source Sepration of two Notes using Eigen Decomposition
eigen-vector-decomposition machine-learning poweriteration signal-processing
Language:Python
VatsalSoni301 / pca_kmean_gmm
eigen-vector-decomposition gmm hierarchical-clustering jupyter-notebook kmeans-clustering pca-analysis python3 svd
Language:Jupyter Notebook