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193 search results found

Uniform Manifold Approximation and Projection

Machine Learning With Python ⭐ 2,980

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Awesome Single Cell ⭐ 2,784

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

Awesome Community Detection ⭐ 2,232

A curated list of community detection research papers with implementations.

Text_classification ⭐ 1,621

Text Classification Algorithms: A Survey

Minisom ⭐ 1,339

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Opentsne ⭐ 1,295

Extensible, parallel implementations of t-SNE

Datasets ⭐ 521

A repository of pretty cool datasets that I collected for network science and machine learning research.

Minimum-distortion embedding with PyTorch

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

Multivariatestats.jl ⭐ 359

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Umap Js ⭐ 316

JavaScript implementation of UMAP

Dimensionality reduction in very large datasets using Siamese Networks

An R package implementing the UMAP dimensionality reduction method.

Machine Learning Notebooks ⭐ 241

Machine Learning notebooks for refreshing concepts.

Siamesenetwork Tensorflow ⭐ 232

Using siamese network to do dimensionality reduction and similar image retrieval

Pytorch_cpp ⭐ 215

Deep Learning sample programs using PyTorch in C++

Hierarchical Uniform Manifold Approximation and Projection

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

Mathtoolbox ⭐ 193

Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Palantir ⭐ 184

Single cell trajectory detection

Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.

Go Tsne ⭐ 169

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

The Data Science Workshop ⭐ 156

A New, Interactive Approach to Learning Data Science

Simpsom ⭐ 153

Python library for Self-Organizing Maps

Selfsne ⭐ 147

Self-Supervised Noise Embeddings (Self-SNE) for dimensionality reduction and clustering

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Uniform Manifold Approximation and Projection - R package

Msmbuilder ⭐ 124

🏗️ Statistical models for biomolecular dynamics 🏗️

Pytorch Spectral Clustering ⭐ 122

[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch

Kpca Matlab ⭐ 116

MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).

Umap.jl ⭐ 115

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Parametricumap_paper ⭐ 112

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

T Simcne ⭐ 103

Unsupervised visualization of image datasets using contrastive learning

Ensemble topic modelling with pLSA

Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

🕝 Time-warped principal components analysis (twPCA)

Uniform Manifold Approximation with Two-phase Optimization (IEEE VIS 2022 short)

Pymorton ⭐ 97

A lightweight and efficient Python Morton encoder with support for geo-hashing

Walklets ⭐ 96

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

A JavaScript Library for Dimensionality Reduction

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis

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 ⭐ 77

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

Local Fisher Discriminant Analysis in R

A Framework for Dimensionality Reduction in R

Chemplot ⭐ 70

A python package for chemical space visualization.

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Tsne Viz ⭐ 69

Python Wrapper for t-SNE Visualization

Topometry ⭐ 69

Systematically learn and evaluate manifolds from high-dimensional data

Manifoldlearning.jl ⭐ 69

A Julia package for manifold learning and nonlinear dimensionality reduction

R package for single cell and other data analysis using diffusion maps

Smallvis ⭐ 63

R package for dimensionality reduction of small datasets

Single-cell Hierarchical Poisson Factorization

Covid19 Literature Clustering ⭐ 63

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

R package for Distance Metric Learning

Mathematics Statistics For Data Science ⭐ 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.

Spotifav ⭐ 52

🤘 Map out your musical taste on Spotify with machine learning

A python wrapper for Barnes-Hut tsne: for Python >= 3.5

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

Noise-Contrastive Visualization

Parallel Barnes-Hut t-SNE implementation written in Rust.

A library for dimensionality reduction on spatial-temporal PDE

Clustershapley ⭐ 40

Explaining dimensionality results using SHAP values

Fast and precise comparison of genomes and metagenomes (in the order of terabytes) on a typical personal laptop

Dimensionality reduction of spikes trains

People Map ⭐ 37

Visualization Tool for Mapping Out Researchers using Natural Language Processing

Interactive Visualization Interface for Multidimensional Datasets

2017 Spring (105-2) -- Machine Learning

Dimensionality Reduction And Classification On Hyperspectral Images Using Python ⭐ 36

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

Timecorr ⭐ 36

Estimate dynamic high-order correlations in multivariate timeseries data

Pcaworkshop ⭐ 35

An introduction to matrix factorization and PCA and SVD.

Partition ⭐ 34

A fast and flexible framework for data reduction in R

Sparse Principal Component Analysis (SPCA) using Variable Projection

Iconographic Visualization Inside Computational Notebooks

Reductionwrappers ⭐ 32

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

Hippyflow ⭐ 32

Dimension reduced surrogate construction for parametric PDE maps

Competitive Feature Learning ⭐ 31

Online feature-extraction and classification algorithm that learns representations of input patterns.

Boostedfactorization ⭐ 31

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Manifold Learning ⭐ 31

Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

Public_kssd ⭐ 30

K-mer substring space decomposition

R package for Tools for Handling Extraction of Features from Time series (theft)

NTUEE Machine Learning, 2017 Spring

Ezancestry ⭐ 28

Easy genetic ancestry predictions in Python

Machine Learning Course at IIT Bhilai

Statistical quality evaluation of dimensionality reduction algorithms

Federated_pca ⭐ 27

Federated Principal Component Analysis Revisited!

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

Umi Normalization ⭐ 26

Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology

An efficient symbolic time series approximation technique

Dynamicalcomponentsanalysis ⭐ 24

Dynamical Components Analysis

Encodermap ⭐ 24

python library for dimensionality reduction

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

Keras Temporal Autoencoder ⭐ 23

Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.

Python+Rust implementation of the Probabilistic Principal Component Analysis model

A Python Library for Similarity-based Dimensionality Reduction

Machine_learning ⭐ 21

A repository of resources for understanding the concepts of machine learning/deep learning.

1-100 of 193 search results

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