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The Top 86 Python Dimensionality Reduction Open Source Projects

Topicย >ย Dimensionality Reduction
Categoriesย >ย Programming Languagesย >ย Python
Umap โญย 5,563
Uniform Manifold Approximation and Projection
dependent packages 195total releases 37most recent commit 14 days agopypi umap-learn} Downloads
Awesome Single Cell โญย 2,089
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
most recent commit 13 days ago
Awesome Community Detection โญย 1,938
A curated list of community detection research papers with implementations.
most recent commit 3 months ago
Text_classification โญย 1,504
Text Classification Algorithms: A Survey
most recent commit 2 months ago
Minisom โญย 1,064
๐Ÿ”ด MiniSom is a minimalistic implementation of the Self Organizing Maps
dependent packages 3total releases 23most recent commit 8 days agopypi MiniSom} Downloads
Opentsne โญย 957
Extensible, parallel implementations of t-SNE
dependent packages 7total releases 23most recent commit 2 months agopypi openTSNE} Downloads
Pymde โญย 406
Minimum-distortion embedding with PyTorch
dependent packages 2total releases 17most recent commit 21 days agopypi pymde} Downloads
Ivis โญย 262
Dimensionality reduction in very large datasets using Siamese Networks
dependent packages 1total releases 31most recent commit 5 days agopypi ivis} Downloads
Machine Learning Notebooks โญย 241
Machine Learning notebooks for refreshing concepts.
most recent commit 9 months ago
Dpca โญย 178
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
total releases 3most recent commit 6 months ago
Danmf โญย 178
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
most recent commit 3 months ago
The Data Science Workshop โญย 156
A New, Interactive Approach to Learning Data Science
most recent commit 2 months ago
Machine_learning_2018 โญย 146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
most recent commit 8 months ago
Selfsne โญย 129
Self-Supervised Noise Embeddings (Self-SNE) for dimensionality reduction and clustering
total releases 2most recent commit 3 days ago
Msmbuilder โญย 124
๐Ÿ— Statistical models for biomolecular dynamics ๐Ÿ—
dependent packages 1total releases 15most recent commit a year agopypi msmbuilder} Downloads
Pytorch Spectral Clustering โญย 122
[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
most recent commit 5 years ago
Simpsom โญย 111
Python library for Self-Organizing Maps
total releases 8most recent commit 4 months ago
Enstop โญย 100
Ensemble topic modelling with pLSA
most recent commit 8 months ago
Walklets โญย 95
A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
most recent commit 3 months ago
Bane โญย 84
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
most recent commit 3 months ago
Hyperspectral_image_analysis_simplified โญย 77
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
most recent commit 7 months ago
Asne โญย 75
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
most recent commit 3 months ago
Tsne Viz โญย 69
Python Wrapper for t-SNE Visualization
most recent commit 4 years ago
Sine โญย 68
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
most recent commit 3 months ago
Tsne โญย 52
A python wrapper for Barnes-Hut tsne: for Python >= 3.5
most recent commit 5 years ago
Pymorton โญย 50
A lightweight and efficient Python Morton encoder with support for geo-hashing
most recent commit 3 years ago
Topometry โญย 48
A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.
most recent commit 2 months ago
Vlgp โญย 38
Dimensionality reduction of spikes trains
most recent commit 7 months ago
People Map โญย 37
Visualization Tool for Mapping Out Researchers using Natural Language Processing
most recent commit 6 months ago
Dimensionality Reduction And Classification On Hyperspectral Images Using Python โญย 36
In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.
most recent commit 2 years ago
Tldr โญย 34
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
most recent commit 7 months ago
Manifold Learning โญย 31
Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
most recent commit 2 years ago
Boostedfactorization โญย 29
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
most recent commit 3 months ago
Ml2017 โญย 28
NTUEE Machine Learning, 2017 Spring
most recent commit 5 years ago
Ezancestry โญย 28
Easy genetic ancestry predictions in Python
most recent commit 6 days ago
Reductionwrappers โญย 26
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
most recent commit 2 months ago
Mathematics Statistics For Data Science โญย 23
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.
most recent commit 8 months ago
Dynamicalcomponentsanalysis โญย 23
Dynamical Components Analysis
most recent commit a month ago
Sef โญย 21
A Python Library for Similarity-based Dimensionality Reduction
most recent commit 3 years ago
Machine_learning_a Z_all_codes_and_templates โญย 20
All codes, both created and optimized for best results from the SuperDataScience Course
most recent commit 5 years ago
Dbmap โญย 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.
most recent commit a year ago
Tsnet โญย 17
Source code accompanying the submission to EuroVis 2017
most recent commit 3 years ago
Fabba โญย 17
๐Ÿธ An open source efficient symbolic representation compression technique for temporal data
most recent commit 16 hours ago
Steadiness Cohesiveness โญย 15
Quality Metrics for evaluating the inter-cluster reliability of Multidimensional Projections
most recent commit 10 months ago
Adenine โญย 15
ADENINE: A Data ExploratioN PipelINE
most recent commit 4 years ago
50 Days Of Statistics For Data Science โญย 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.
most recent commit 4 months ago
Pod Dl Rom โญย 14
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.
most recent commit 2 months ago
Hippyflow โญย 13
Dimension reduced surrogate construction for parametric PDE maps
most recent commit 3 months ago
Tgplvm โญย 13
tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data
most recent commit 3 years ago
Data Science โญย 12
Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
most recent commit 2 months ago
Customer Analytics โญย 10
Machine Learning Case study on customer segmentation and prediction of groups.
most recent commit 4 years ago
Fastlapmap โญย 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.
most recent commit 6 months ago
Nmor โญย 9
Deep learning framework for model reduction of dynamical systems
most recent commit a year ago
Brainnet Ml Toolbox โญย 9
Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.
most recent commit 2 years ago
Signal Processing โญย 9
Repository that gathers code for signal processing
most recent commit 2 years ago
Dimensionality Reduction With Autoencoder โญย 8
Using Autoencoder for dimensionality reduction and feature extraction
most recent commit 4 years ago
Trimap Pytorch โญย 8
Implementation of TriMap dimensionality reduction in PyTorch
most recent commit 4 years ago
Ee7403 โญย 7
EE7403 Image Analysis & Pattern Recognition
most recent commit a year ago
Tensorflow2.0_notebooks โญย 6
Implementation of a series of Neural Network architectures in TensorFow 2.0
most recent commit 2 years ago
Vip Machine Learning Exercises And Practices โญย 6
VIP Machine Learning Exercises and Practices
most recent commit 2 years ago
Quickselection โญย 5
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
most recent commit 3 months ago
Neuralmap โญย 5
NeuralMap is a data analysis tool based on Self-Organizing Maps
most recent commit a year ago
Tgviz โญย 5
1000 Genomes Project population visualizations using dimensionality reduction
most recent commit 3 years ago
Kaggle Brainnetprediction Toolbox โญย 5
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.
most recent commit 4 months ago
Gplvm โญย 4
Re-Implementation of GPLVM algorithm & performance assessment against Kernel-PCA
most recent commit 2 years ago
Pre Ml โญย 4
pre-ml a tool for data science!
most recent commit 3 years ago
Bank Marketing Data Analysis โญย 4
Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data
most recent commit 4 years ago
Mlalgorithms โญย 4
๐Ÿ Python Implementation of Various Machine Learning Algorithms ๐Ÿค–
most recent commit 2 years ago
Augmented Pca โญย 4
Repository for the AugmentedPCA Python package.
most recent commit 5 months ago
Machine Learning In Python Code โญย 4
Machine Learning code in python includes topics like Exploratory Data Analysis (EDA), Classification, Regression, Clustering and Dimensionality Reduction
most recent commit 5 months ago
Slisemap โญย 3
SLISEMAP: Combining supervised dimensionality reduction with local explanations
most recent commit a day ago
Tsne Wrappers โญย 3
MATLAB wrappers for several commonly used t-SNE implementations
most recent commit 2 years ago
Lamp โญย 3
most recent commit 3 years ago
Sliced โญย 3
sliced: scikit-learn compatible sufficient dimension reduction
most recent commit 2 years ago
Machine Learning Ai Templates โญย 3
45+ ready to use templates to kick start your next AI experiment
most recent commit 5 months ago
Ae Defenses โญย 3
most recent commit 3 years ago
Svd Based Image Compression โญย 3
Python code to calculate singular value decomposition of a colored image and reconstruct it using fewer dimensions.
most recent commit 4 years ago
Opendotadump Tools โญย 3
Analysis & Tools for the 2011-2016 OpenDota Dump (~1.2 billion matches)
most recent commit 3 years ago
Pygsom โญย 2
pygsom is an open source python-based implementation of GSOM algorithm. GSOM is unsupervised dimensionality reduction and clustering algorithm
most recent commit a year ago
Movie Data Analysis Recommendation Classification โญย 2
Demonstration of vectorization of movies, recommendation using collaborative filtering and classification.
most recent commit 4 years ago
Python Ml โญย 2
Python implementations of several Machine Learning algorithms.
most recent commit a year ago
Face Recognition Using Pca And Svd โญย 2
In this project, facial recognition algorithm is implemented with python using PCA and SVD dimensionality reduction tools.
most recent commit 3 years ago
Flameplot โญย 2
flameplot is a python package for the quantification of local similarity across two maps or embeddings.
most recent commit 9 days ago
Sp500 Spy Etf Daily Price Prediction โญย 2
It is well known that the stock market exhibits very high dimensionality due to the almost unlimited number of factors that can affect it which makes it very difficult to predict. Studying how global stock market indexes respond to headlines can provide a major advantage in predicting stock movements and making trade decisions. Naturally, fundamental and technical indicators are not to be neglected and the goal of the project is to combine all of these aspects to achieve a model that thinks as a
most recent commit 3 years ago
Multivariate_analysis_examples โญย 2
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.
most recent commit 2 years ago
Dimreduce4gpu โญย 2
Dimensionality reduction ("dimreduce") on GPUs ("4gpu")
most recent commit 2 months ago
1-86 of 86 projects
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