Reverse Dependencies of hdbscan

The following projects have a declared dependency on hdbscan:

• ads-linguistics — The ADS Linguistic Library
• albert-toolkit — Python toolkit for Albert Invent
• am2eda — no summary
• Amazon-DenseClus — Dense Clustering for Mixed Data Types
• antm — Aligned Neural Topic Model for Exploring Evolving Topics
• arize-phoenix — AI Observability and Evaluation
• asoid — ASOiD: An active learning approach to behavioral classification
• astroCAST — Package to analyze calcium fluorescence events in astrocytes
• auto-clustering — Automatic Clustering selection with Ray Tune
• automs — Automatic Model Selection Using Cluster Indices
• bambird — BAM, unsupervised labelling function to extract and cluster similar animal vocalizations together
• basty — basty (Automated Behavioral Analysis of Asleep Fruit Fly) is a software designed to analyze behavioral correlates of sleep in Drosophila Melanogaster. The software consists of an end-to-end & multi-stage pipeline and a couple of useful scripts for behavioral analysis. basty is specifically designed for unique challenges related to the characteristics of sleep, so can deal with hard-to-detect behaviors exhibited rarely during long sleep cycles.
• bertopic — BERTopic performs topic Modeling with state-of-the-art transformer models.
• borec-tool — Tool for visualization and analysis of hyperspectral data
• cellvgae — CellVGAE uses the connectivity between cells (such as k-nearest neighbour graphs) with gene expression values as node features to learn high-quality cell representations in a lower-dimensional space
• chatintents — ChatIntents automatically clusters and labels short text intent messages.
• checkpointed-steps — no summary
• concept — Topic Model Images
• conspiracies — Discover and examine conspiracies using natural language processing
• corelay — Quickly compose single-machine analysis pipelines.
• cpg-gnomad — Hail utilities for the Genome Aggregation Database
• craved — Buddi-CRAVeD
• cylinter — CyLinter
• cytopy — Data centric algorithm agnostic cytometry analysis framework
• das_unsupervised — Tools for unsupervised classification of acoustic signals.
• data-describe — A Pythonic EDA Accelerator for Data Science
• deepss_unsupervised — Tools for unsupervised classification of acoustic signals.
• dockonsurf — Code to systematically find the most stable geometry for molecules on surfaces
• DPA — The Density Peak Advanced packages.
• dyneusr-fire — A command line interface for DyNeuSR
• emb3d — emb3d.co command line inteface to work with embeddings.
• embedding-explorer — Tools for interactive visual inspection of semantic embeddings.
• example-pkg-krish9d — A small example package
• face-tagger — A library for face recognition in multiple images and classification of photos containing each individual.
• fast-tcrdist — Optimized TCRDist calculation for TCR repertoire data analysis
• fastlbp-baseline-imbg — A wrapper for Ben's LBP bio pipeline
• fba — Tools for single-cell feature barcoding analysis
• feature-clock — Feature Clock, provides visualizations that eliminate the need for multiple plots to inspect the influence of original variables in the latent space. Feature Clock enhances the explainability and compactness of visualizations of embedded data.
• flexible_clustering_tree — easy interface for ensemble clustering
• flight-genome — flight - metagenomic binner and variant clusterer.
• ftis — The finding things in stuff package.
• geosnap — The Geospatial Neighborhood Analysis Package
• gnomad — Hail utilities for the Genome Aggregation Database
• gobbli — Uniform interface to deep learning approaches via Docker containers.
• graph-attention-student — MEGAN: Multi Explanation Graph Attention Network
• hotspots — no summary
• hypercluster — A package for automatic clustering hyperparameter optmization
• iDeLUCS — no summary
• idendrogram — Interactive dendrograms compatible with scipy, scikit-learn and hdbscan
• iMVP-utils — Utils for interactive epitranscriptomic Motif Visualization and Sub-type Partitioning (iMVP).
• interactovery — Python module for interactional discovery.
• interpret-community — Microsoft Interpret Extensions SDK for Python
• interpret-image — Microsoft Interpret Image SDK for Python
• interpret-recommenders — Microsoft Interpret Recommenders SDK for Python
• interpret-text — Microsoft Interpret Text SDK for Python
• interpret-vision — Microsoft Interpret Vision SDK for Python
• jac-misc — no summary
• jaseci-ai-kit — no summary
• kf-d3m-primitives — All Kung Fu D3M primitives as a single library
• kosh — Manages Data Store with External Bulk Data
• labours — Python companion for github.com/src-d/hercules to visualize the results.
• latentscope — Quickly embed, project, cluster and explore a dataset.
• leet-topic — A new transformer-based topic modeling library.
• libertem — Open pixelated STEM framework
• libertem-blobfinder — LiberTEM correlation and refinement library
• lilac — Organize unstructured data
• limu — Tool to analyse images of cleared and trypan blue stained leaves to assess leaf damage.
• linchemin — Toolkit to create, manipulate, and query networks of Chemical Reactions and Chemicals
• linktransformer — A friendly way to do link, aggregate, cluster and de-duplicate dataframes using large language models.
• lloom_ai — Concept Induction to analyze unstructured text
• locan — Analysis software for single-molecule localization microscopy
• loci-st — LOCI is a component providing functionalities for analysing, mining, and visualizing spatial and temporal data.
• lussac — Python package for automatic post-processing and merging of multiple spike-sorting analyses.
• mat_discover — Data-driven materials discovery based on composition or structure.
• mineralML — mineralML
• ml-init — Install the main ML libraries
• ml2json — A safe, transparent way to share and deploy scikit-learn models.
• modbamtools — A set of tools to manipulate and visualize data from base modification bam files
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• napari-clusters-plotter — A plugin to use with napari for clustering objects according to their properties
• netatmoqc — Use machine learning clustering methods to perform quality control over NetAtmo data
• nttc — A set of functions that process and create topic models from a sample of community-detected Twitter networks' tweets. It can process and visualize network data across periods and communities.
• OpenEnsembles — no summary
• panoptes-aggregation — Aggregation code for Zooniverse panoptes projects.
• pathogen-embed — Reduced dimension embeddings for pathogen sequences
• pbjam — A package for peakbagging solar-like oscillators
• pca3dvis — Visualize 3d matrices or their 3d projections easily
• pept — A Python library that unifies Positron Emission Particle Tracking (PEPT) research, including tracking, simulation, data analysis and visualisation tools.
• pewanalytics — Utilities for text processing and statistical analysis from Pew Research Center
• pyflasc — Flare-Sensitive Clustering based on HDBSCAN*.
• pyturbseq — no summary
• pyYAMB — Yet Another Metagenome Binner
• querent — The Asynchronous Data Dynamo and Graph Neural Network Catalyst
• QuickClus — UMAP + HDBSCAN for numeric and/or categorical variables
• raccoon-cluster — Scale-adaptive clustering in Python
• radianceQuantifier — Automatically crops mice and quantifies their tumor luminescences from raw IVIS images
• relatio — A Python package to extract narrative statements from text
• RelevanceAI-dev — no summary
• rfpipe — Radio interferometric transient search pipeline for realfast
• RNAlysis — RNAlysis is an analysis software for RNA sequencing data. RNAlysis can help to filter, visualize, explore, analyze, and share your data.