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The Wayback Machine - https://web.archive.org/web/20200619124432/https://github.com/topics/manifold-learning
Here are
50 public repositories
matching this topic...
Statistical Machine Intelligence & Learning Engine
Updated
Jun 19, 2020
Java
A high-level machine learning and deep learning library for the PHP language.
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Updated
Jun 19, 2020
Python
Pytorch implementation of Hyperspherical Variational Auto-Encoders
Updated
Mar 21, 2020
Python
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Updated
Dec 1, 2018
Python
Updated
Jun 5, 2020
Python
Tensorflow implementation of adversarial auto-encoder for MNIST
Updated
Nov 7, 2017
Python
A Framework for Dimensionality Reduction in R
A Julia package for manifold learning and nonlinear dimensionality reduction
Updated
Apr 10, 2020
Julia
Single cell trajectory detection
Updated
May 20, 2020
Jupyter Notebook
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
Updated
May 4, 2020
Python
Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
Updated
Mar 5, 2020
Jupyter Notebook
An interactive 3D web viewer of up to million points on one screen that represent data. Provides interaction for viewing high-dimensional data that has been previously embedded in 3D or 2D. Based on graphosaurus.js and three.js. For a Linux release of a complete embedding+visualization pipeline please visit
https://github.com/sonjageorgievska/Embed-Dive .
Updated
Mar 12, 2018
HTML
Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)
Updated
Apr 18, 2020
Jupyter Notebook
Dimension Reduction and Estimation Methods
TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.
Updated
May 14, 2017
Python
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).
Updated
Mar 4, 2020
Python
A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region
Updated
Jun 4, 2018
Python
This repo contains code for GeoMLE intrinsic dimension estimation algorithm
Updated
May 5, 2020
Jupyter Notebook
A tool that performs 3D embedding of data and provides interactive visualization.
Updated
Feb 3, 2017
JavaScript
Diffusion Net TensorFlow implementation
Updated
Nov 10, 2017
Jupyter Notebook
Co-Ranking matrix and derived methods to assess the quality of dimensionality reductions
Matlab implementation of Diffusion Maps
Updated
Oct 11, 2017
MATLAB
A Matlab toolbox for optimization on manifolds (by Boumal and Mishra)
Updated
Feb 8, 2017
MATLAB
pyquest: diffusion analysis of transposable arrays
Updated
Sep 1, 2017
Jupyter Notebook
Single cell trajectory detection
Updated
Aug 21, 2018
Jupyter Notebook
ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction
Updated
May 20, 2020
Python
A Color Picker based on manifold learning. The algorighm is the same as the "SOM-ColorManifolds" repository.
Machine learning library containing algorithms for data analysis, statistical modelling, inference and pattern recognition
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