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Search results for python dimensionality reduction
dimensionality-reduction
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python
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79 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.
Dpca
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202
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
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
Simpsom
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153
Python library for Self-Organizing Maps
Machine_learning_2018
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146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Msmbuilder
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124
🏗️ Statistical models for biomolecular dynamics 🏗️
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
Enstop
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100
Ensemble topic modelling with pLSA
Pymorton
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97
A lightweight and efficient Python Morton encoder with support for geo-hashing
Walklets
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96
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Bane
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86
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
Tldr
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80
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
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).
Sine
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69
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Topometry
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69
Systematically learn and evaluate manifolds from high-dimensional data
Tsne Viz
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69
Python Wrapper for t-SNE Visualization
Mathematics Statistics For Data Science
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54
Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
Tsne
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52
A python wrapper for Barnes-Hut tsne: for Python >= 3.5
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
Reductionwrappers
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32
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
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).
Manifold Learning
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31
Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
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.
Steadiness Cohesiveness
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20
Quality Metrics for evaluating the inter-cluster reliability of Multidimensional Projections
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
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.
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
Data Science
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17
Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.
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
50 Days Of Statistics For Data Science
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15
This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.
Adenine
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15
ADENINE: A Data ExploratioN PipelINE
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.
Tgplvm
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13
tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data
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.
Scbean
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10
Single-cell data analysis
Customer Analytics
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10
Machine Learning Case study on customer segmentation and prediction of groups.
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.
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.
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
Nmor
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9
Deep learning framework for model reduction of dynamical systems
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
Dimensionality Reduction With Autoencoder
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8
Using Autoencoder for dimensionality reduction and feature extraction
Trimap Pytorch
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8
Implementation of TriMap dimensionality reduction in PyTorch
Ee7403
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7
EE7403 Image Analysis & Pattern Recognition
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.
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
Vip Machine Learning Exercises And Practices
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6
VIP Machine Learning Exercises and Practices
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.
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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