ZIFA

vyraun/half-size129

Dimensionality reduction

An algorithm to reduce word embeddings to a specified size while maintaining performance

beringresearch/ivis332

Dimensionality reducer

A dimensionality reduction framework using a Siamese Neural Network to visualize high-dimensional datasets

mljs/pca98

Dimension reducer

Tool for reducing dimensionality of data by identifying and preserving the most informative directions.

ziyin-dl/word-embedding-dimensionality-selection329

Word embedding dimensionality selector

An implementation of dimensionality selection procedure for word embeddings in various algorithms.

xarray-contrib/xeofs109

Data reducer

Tools for dimensionality reduction in climate science data analysis

jhu99/scbean16

Multi-omics analyzer

Analyzes single-cell multi-omics data from various modalities like RNA-seq and ATAC-seq

epistasislab/scikit-mdr126

Feature constructor

An algorithm for feature construction that models higher-order interactions and captures complex patterns in data sets

yingfanwang/pacmap582

Dimension reduction method

PaCMAP is an algorithm that reduces the dimensionality of data while preserving both global and local structure

yoseflab/fastproject35

Data visualization tool

Provides tools and methods for visualizing and analyzing single cell RNA-seq data in low dimensions

xiaoyang-rebecca/patternrecognition_matlab71

Pattern recognition study

An investigation into feature reduction and classification methods for pattern recognition using various techniques such as PCA, LDA, and SVM.

zji90/sepa4

Gene expression analyzer

An R package providing tools for analyzing single-cell RNA-seq data and identifying gene expression patterns.

zjufanlab/scdeepsort100

Cell type annotation tool

A tool for accurately annotating cell types in single-cell RNA sequencing data using deep learning

andylamp/federated_pca39

Differential PCA

An algorithm for performing dimensionality reduction on decentralized data with differential privacy guarantees

dfajar2/bigscale1

Cell analyzer

Analytical framework for single-cell data analysis

zhangxiaoyu11/omivae31

Data analysis model

This project provides an end-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.