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dimensionality-reduction-algorithms

Here are 7 public repositories matching this topic...

Neurojedi / Machine-Learning-Zero2Hero

A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.

python nlp machine-learning opensource deep-learning numpy jupyter-notebook pandas data-visualization seaborn dimensionality-reduction matplotlib support-vector-machines regression-models dimensionality-reduction-algorithms

Updated Jul 20, 2023
Jupyter Notebook

michelin / TorchSOM

TorchSOM is a PyTorch-based library for training Self-Organizing Maps (SOMs), a type of unsupervised learning algorithm used for clustering and dimensionality reduction. Designed for scalability and ease of use, this implementation is optimized for large-scale data.

clustering pytorch data-visualisation clustering-algorithm unsupervised-machine-learning pytorch-implementation just-in-time self-organizing-maps dimensionality-reduction-technique dimensionality-reduction-algorithms just-in-time-learning

Updated Sep 2, 2025
Python

gustafssonlinnea / UMAP-vs-PaCMAP

This is a dimensionality reduction project in the course DD2470 Advanced Topics in Visualization and Computer Graphics at KTH Royal Institute of Technology, Stockholm (2024), made by Linnéa Gustafsson.

dimensionality-reduction umap multidimensional-data dimensionality-reduction-algorithms pacmap

Updated Feb 15, 2024
Python

mohd-faizy / Machine-Learning-Algorithms

This Repository consist of some popular Machine Learning Algorithms and their implementation of both theory and code in Jupyter Notebooks

deep-learning neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning logistic-regression convolutional-neural-networks decision-trees unsupervised-learning support-vector-machines gradient-boosting k-means-clustering k-nearest-neighbors bayesian-algorithm dimensionality-reduction-algorithms

Updated Nov 30, 2020
Jupyter Notebook

GeoRouv / single-cell-data-analysis

🧫 A data analysis pipeline that accepts as input a single-cell synthetic dataset

clustering single-cell-rna-seq dimensionality-reduction-algorithms

Updated Apr 23, 2021
Jupyter Notebook

Sarvandani / Machine_learning_6_algorithms_of_dimensionality_reduction

Sklearn, PCA, t-SNE, Isomap, NMF, Random Projection, Spectral Embedding

machine-learning sklearn pca dimensionality-reduction t-sne nmf isomap spectral-embedding random-projection dimensionality-reduction-algorithms

Updated Jul 7, 2023
Jupyter Notebook

mbar0075 / A-Guide-to-Principal-Component-Analysis--IAPT-

Deliverables relating to the Individual Assigned Practical Task (A Guide to Principal Component Analysis) University Unit

visualization encoding numpy plotly dimensional-analysis pca covariance-matrix singular-value-decomposition screeplot sklearn-library dimensionality-reduction-algorithms

Updated Jun 22, 2023
Jupyter Notebook

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