lle

There are 0 repository under lle topic.

xqemu / xqemu
Open-source emulator to play original Xbox games on Windows, macOS, and Linux
xbox qemu emulator games lle emulation windows macos linux
Language:C 647
saehm / DruidJS
A JavaScript Library for Dimensionality Reduction
dimensionality-reduction clustering javascript-library unsupervised-learning matrix t-sne mds pca umap ltsa lle isomap fastmap
Language:JavaScript 116
wildart / ManifoldLearning.jl
A Julia package for manifold learning and nonlinear dimensionality reduction
dimensionality-reduction manifold-learning julia isomap lle diffusion-maps
Language:Julia 93
gregmoille / pyLLE
Lugiato Lefever Equation Solver in Python/Julia
julia python lle combs frequency-comb frequency-combs
Language:Python 74
whatdahopper-archive / LemonLime
A Nintendo 3DS LLE emulator written in C#
3ds nintendo emulator emulation lle
Language:C# 64
ErwanLucas / inverseLLE
Genetic-algorithm-based optimisation of resonator dispersion for tailoring Kerr comb states of the Lugiato-Lefever Equation (LLE).
frequency-combs genetic-algorithm kerr-combs lle matlab
Language:MATLAB 19
kashefy / mi2notes
My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin
pca hmm expectation-maximization ica som mixture-model density-estimation kde kernel-pca clustering lle
Language:TeX 14
JAVI897 / LLE-and-its-variants
Implemented Locally Linear Embedding algorithm and some variants of LLE
isolle lle dimensionality-reduction manifold-learning
Language:Jupyter Notebook 5
tejasnp163 / Dimensionality-Reduction-on-Wine-Dataset
Performed different tasks such as data preprocessing, cleaning, classification, and feature extraction/reduction on wine dataset.
knn-classification pca lda t-sne isomap lle fda wine-dataset kernel-pca pca-analysis laplacian-eigenmaps eda
Language:Jupyter Notebook 5
python3f / locally-linear-embedding
Locally linear embedding (LLE) is a data visualisation technique based on local linearity.
optimization methods locally linear embedding lle
Language:Jupyter Notebook 3
xerpi / sisa-emu
SISA Architecture Emulator
risc risc-processor emulator emulator-programming lle c
Language:C 3
Eason-Sun / Effects-Of-Different-Dimensionality-Reductions-On-Image-Data
dimensionality-reduction pca isomap lle lda visualization machine-learning-algorithms
Language:Python 2
Sagarnandeshwar / Visualizing_High_Dimensional_Data
Applied Machine Learning (COMP 551) Course Project
machine-learning image-processing isomap lle pca sne stochastic-neighbor-embedding tsne umap
Language:Jupyter Notebook 2
fratorgano / dimensionality-reduction
Project to learn a bit more about dimensionality reduction techniques
lle isomap umap dimensionality-reduction data-science data-visualization university-project
Language:Jupyter Notebook 1
hbjornoy / t-SNE-vs-LLE
Comparison of the Stochastic Neighbor Embedding(SNE) and the t-distributed SNE algorithms
embeddings lle manifold-learning tsne-algorithm
Language:Jupyter Notebook 1
tate8 / dimensionality-reduction
Performing dimensionality reduction with various ML algorithms
pca t-sne mda isomap lle dimensionality-reduction
Language:Jupyter Notebook 1
ToshihiroIguchi / dr
Dimensionality reduction
pca kpca mds t-sne lle som dm
Language:R 1
dsrichard97 / STAT-576-Phishing-Final-Project
A final project authored by Cory Suzuki, Nathaniel Talampas, and Richard Diaz DeLeon for Dr. Seungjoon Lee's Unsupervised Learning class. Here we perform dimensionality reduction techniques for feature extraction and utilize clustering methods to analyze insightful trends on the classification of phishing and scam emails.
isomap lle t-sne
Language:Jupyter Notebook 0
KSato0428 / LLE
lle machine-learning
Language:Jupyter Notebook 0
MHStadler / COMP66090_PredictingPsA
Predicting the development of Psoriatic Arthritis using Feature Selection and Locally Linear Embedding
matlab machine-learning lle smote feature-selection
Language:C 0
mohammad95labbaf / UMAP_breast_cancer
This repository explores the interplay between dimensionality reduction techniques and classification algorithms in the realm of breast cancer diagnosis. Leveraging the Breast Cancer Wisconsin dataset, it assesses the impact of various methods, including PCA, Kernel PCA, LLE, UMAP, and Supervised UMAP, on the performance of a Decision Tree.
breast-cancer-wisconsin decision-tree decision-tree-classifier dimensionality-reduction dimensionality-reduction-technique eda expolatory-data-analysis kernel-pca lle locally-linear-embedding principal-component-analysis umap
Language:Jupyter Notebook 0
hxtruong6 / graph-embedding
Graph embedding
deepwalk lle
Language:Jupyter Notebook
tdiggelm / eth-slt-ce-1
ETH SLT exercise 1 - implement locally linear embedding (LLE)
manifold embedding lle python dimensionality-reduction
Language:Jupyter Notebook

lle

xqemu / xqemu

saehm / DruidJS

wildart / ManifoldLearning.jl

gregmoille / pyLLE

whatdahopper-archive / LemonLime

ErwanLucas / inverseLLE

kashefy / mi2notes

JAVI897 / LLE-and-its-variants

tejasnp163 / Dimensionality-Reduction-on-Wine-Dataset

python3f / locally-linear-embedding

xerpi / sisa-emu

Eason-Sun / Effects-Of-Different-Dimensionality-Reductions-On-Image-Data

Sagarnandeshwar / Visualizing_High_Dimensional_Data

fratorgano / dimensionality-reduction

hbjornoy / t-SNE-vs-LLE

tate8 / dimensionality-reduction

ToshihiroIguchi / dr

dsrichard97 / STAT-576-Phishing-Final-Project

KSato0428 / LLE

MHStadler / COMP66090_PredictingPsA

mohammad95labbaf / UMAP_breast_cancer

hxtruong6 / graph-embedding

tdiggelm / eth-slt-ce-1