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Search results for python dimensionality reduction
dimensionality-reduction
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python
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68 search results found
Umap
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6,672
Uniform Manifold Approximation and Projection
Awesome Single Cell
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2,784
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Awesome Community Detection
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2,232
A curated list of community detection research papers with implementations.
Text_classification
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1,621
Text Classification Algorithms: A Survey
Minisom
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1,339
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Opentsne
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1,295
Extensible, parallel implementations of t-SNE
Pymde
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480
Minimum-distortion embedding with PyTorch
Phate
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421
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
Ivis
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304
Dimensionality reduction in very large datasets using Siamese Networks
Machine Learning Notebooks
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241
Machine Learning notebooks for refreshing concepts.
Danmf
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187
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
The Data Science Workshop
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156
A New, Interactive Approach to Learning Data Science
Machine_learning_2018
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146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Pytorch Spectral Clustering
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122
[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
T Simcne
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103
Unsupervised visualization of image datasets using contrastive learning
Bane
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86
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
Hyperspectral_image_analysis_simplified
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77
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Asne
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76
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
Tsne Viz
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69
Python Wrapper for t-SNE Visualization
Topometry
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69
Systematically learn and evaluate manifolds from high-dimensional data
Sine
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69
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Vlgp
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38
Dimensionality reduction of spikes trains
People Map
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37
Visualization Tool for Mapping Out Researchers using Natural Language Processing
Dimensionality Reduction And Classification On Hyperspectral Images Using Python
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36
In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.
Ivpy
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33
Iconographic Visualization Inside Computational Notebooks
Hippyflow
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32
Dimension reduced surrogate construction for parametric PDE maps
Boostedfactorization
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31
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
Ml2017
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28
NTUEE Machine Learning, 2017 Spring
Ezancestry
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28
Easy genetic ancestry predictions in Python
Fabba
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25
An efficient symbolic time series approximation technique
Dynamicalcomponentsanalysis
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24
Dynamical Components Analysis
Encodermap
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24
python library for dimensionality reduction
Mafese
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23
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python
Ppca_rs
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22
Python+Rust implementation of the Probabilistic Principal Component Analysis model
Sef
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21
A Python Library for Similarity-based Dimensionality Reduction
Dbmap
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20
A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.
Machine_learning_a Z_all_codes_and_templates
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20
All codes, both created and optimized for best results from the SuperDataScience Course
Steadiness Cohesiveness
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20
Quality Metrics for evaluating the inter-cluster reliability of Multidimensional Projections
Tsnet
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17
Source code accompanying the submission to EuroVis 2017
Zadu
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17
A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings
Pod Dl Rom
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17
Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition. Available on doi.org/10.1016/j.cma.2021.114181.
Adenine
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15
ADENINE: A Data ExploratioN PipelINE
Quickselection
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15
[Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
Mha Fs
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14
The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.
Multivariate_analysis_examples
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13
Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+S Credit to Professor I-Cheng Yeh.
Tgplvm
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13
tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data
Customer Analytics
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10
Machine Learning Case study on customer segmentation and prediction of groups.
Country Profiling Using Pca And Clustering
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9
Unsupervised Machine Learning Analysis Using Clustering Model
Gidr Dun
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9
A simple implementation of UMAP, TSNE and GDR across frameworks and libraries
Brainnet Ml Toolbox
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9
Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.
Signal Processing
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9
Repository that gathers code for signal processing
Unsupervised_analysis
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9
A general purpose Snakemake workflow to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.
Nmor
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9
Deep learning framework for model reduction of dynamical systems
Slisemap
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9
SLISEMAP: Combining supervised dimensionality reduction with local explanations
Simba
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9
SIMBA: SIngle-cell eMBedding Along with features
Fastlapmap
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9
Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's implementation and escalates linearly beyond 10e6 samples.
Trimap Pytorch
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8
Implementation of TriMap dimensionality reduction in PyTorch
Lamp
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7
Flameplot
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7
flameplot is a python package for the quantification of local similarity across two maps or embeddings.
Kaggle Brainnetprediction Toolbox
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6
A Python toolbox for predicting brain network (graph) evolution over time from a single observation. The codes of the 20 competing Kaggle teams along with the competition datasets are made available.
Vip Machine Learning Exercises And Practices
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6
VIP Machine Learning Exercises and Practices
Tensorflow2.0_notebooks
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6
Implementation of a series of Neural Network architectures in TensorFow 2.0
Dino
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6
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning
Neuralmap
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5
NeuralMap is a data analysis tool based on Self-Organizing Maps
Tgviz
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5
1000 Genomes Project population visualizations using dimensionality reduction
Ddr
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5
This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].
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