dimensionality-reduction
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Practice and tutorial-style notebooks covering wide variety of machine learning techniques
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Aug 19, 2020 - Jupyter Notebook
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
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Aug 4, 2020
A curated list of community detection research papers with implementations.
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Aug 4, 2020 - Python
Text Classification Algorithms: A Survey
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Jun 15, 2020 - Python
Extensible, parallel implementations of t-SNE
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Aug 4, 2020 - Python
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Aug 19, 2020 - Python
Using siamese network to do dimensionality reduction and similar image retrieval
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Jul 22, 2019 - Jupyter Notebook
An R package implementing the UMAP dimensionality reduction method.
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Aug 3, 2020 - R
Dimensionality reduction in very large datasets using Siamese Networks
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Jun 15, 2020 - Python
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
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Jul 24, 2020 - Julia
Machine Learning notebooks for refreshing concepts.
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Oct 31, 2018 - Jupyter Notebook
A repository of pretty cool datasets that I collected for network science and machine learning research.
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May 21, 2020
JavaScript implementation of UMAP
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Mar 6, 2020 - JavaScript
It would be nice if it supports Thin Plate Spline (TPS) interpolation.
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
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May 31, 2020 - Python
t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go
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Jul 8, 2020 - Go
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
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Jul 30, 2020 - Jupyter Notebook
[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
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Oct 6, 2017 - Python
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Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
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Jan 10, 2019 - Jupyter Notebook
A New, Interactive Approach to Learning Data Science
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Aug 19, 2020 - Jupyter Notebook
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Aug 19, 2019 - Jupyter Notebook
Uniform Manifold Approximation and Projection - R package
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Jun 6, 2020 - R
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
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May 31, 2020 - Python
Ensemble topic modelling with pLSA
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Aug 4, 2020 - Python
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
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Jul 9, 2020 - R
Python Wrapper for t-SNE Visualization
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Jan 12, 2018 - Python
Python library for Self-Organizing Maps
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Jul 2, 2019 - Python
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Following up on the discussion here, it would be good to document how to get reproducible results with UMAP.
I think we should consider changing
random_statein the UMAP constructor to a seed (e.g. 42, like the newtransform_seeddefault) so that UMAP is reproducible by default.We should document that users can set `ran