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lmcinnes/umap

UMAP is a dimension reduction library that can be used for visualization, exploration, and analysis of high-dimensional datasets.

8.1K
Active
Python
Dimensionality Reduction
ML Ops
Python
#dimensionality-reduction#machine-learning#topological-data-analysis

seandavi/awesome-single-cell

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

3.7K
Active
Databases
CLI Tools
#bioinformatics#single-cell#rna-seq

benedekrozemberczki/awesome-community-detection

A curated list of community detection research papers with implementations for data science and network analysis.

2.4K
Stable
Python
Data Science
Backend Frameworks
#community-detection#network-analysis#graph-clustering

kk7nc/Text_Classification

A comprehensive survey of text classification algorithms and techniques in Python.

1.8K
Experimental
Python
Text Processing
Learning & Education
Python
#text-classification#nlp#machine-learning

pavlin-policar/openTSNE

Extensible, parallel implementations of the popular t-SNE dimensionality reduction algorithm for data visualization.

1.6K
Stable
Python
Dimensionality Reduction
Embedding
Python
#dimensionality-reduction#embedding#machine-learning

JustGlowing/minisom

A minimalistic implementation of the Self Organizing Maps (SOM) algorithm for clustering and dimensionality reduction.

1.6K
Active
Python
Clustering
Dimensionality Reduction
Python
#clustering#dimensionality-reduction#unsupervised-learning

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