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The Wayback Machine - https://web.archive.org/web/20200812032525/https://github.com/topics/dimensionality-reduction
#
dimensionality-reduction
Here are
488 public repositories
matching this topic...
Uniform Manifold Approximation and Projection
Updated
Jul 24, 2020
Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Updated
Jul 30, 2020
Jupyter Notebook
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
A curated list of community detection research papers with implementations.
Updated
Aug 4, 2020
Python
Text Classification Algorithms: A Survey
Updated
Jun 15, 2020
Python
Extensible, parallel implementations of t-SNE
Updated
Aug 4, 2020
Python
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Updated
Aug 1, 2020
Python
Using siamese network to do dimensionality reduction and similar image retrieval
Updated
Jul 22, 2019
Jupyter Notebook
An R package implementing the UMAP dimensionality reduction method.
Dimensionality reduction in very large datasets using Siamese Networks
Updated
Jun 15, 2020
Python
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Updated
Jul 24, 2020
Julia
Machine Learning notebooks for refreshing concepts.
Updated
Oct 31, 2018
Jupyter Notebook
A repository of pretty cool datasets that I collected for network science and machine learning research.
JavaScript implementation of UMAP
Updated
Mar 6, 2020
JavaScript
Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Updated
May 31, 2020
Python
t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
Updated
Jul 30, 2020
Jupyter Notebook
[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
Updated
Oct 6, 2017
Python
🏗️ Statistical models for biomolecular dynamics 🏗️
Updated
Aug 4, 2019
Python
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Updated
Jan 10, 2019
Jupyter Notebook
🕝 Time-warped principal components analysis (twPCA)
Updated
Aug 19, 2019
Jupyter Notebook
A New, Interactive Approach to Learning Data Science
Updated
Aug 10, 2020
Jupyter Notebook
Uniform Manifold Approximation and Projection - R package
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Updated
May 31, 2020
Python
Ensemble topic modelling with pLSA
Updated
Aug 4, 2020
Python
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
Python Wrapper for t-SNE Visualization
Updated
Jan 12, 2018
Python
Python library for Self-Organizing Maps
Updated
Jul 2, 2019
Python
Local Fisher Discriminant Analysis in R
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