Reverse Dependencies of umap-learn
The following projects have a declared dependency on umap-learn:
- divbrowse — A web application for interactive visualization and analysis of genotypic variant matrices
- dlc2kinematics — Library for kinematic analysis of DeepLabCut outputs
- dlsia — Deep Learning for Scientif Image Analysis
- dnikit — Base Data and Network Introspection Kit (DNIKit) Library.
- doc2map — Beautiful and interactive visualisations for NLP Topics
- dpi-sc — An end-to-end single-cell multimodal analysis model with deep parameter inference.
- draupnir — Ancestral sequence reconstruction using a tree structured Ornstein Uhlenbeck variational autoencoder
- drfr — A Small Package for Use of Research
- dynamicviz — DynamicViz provides a wrapper for generating and interpreting dynamic visualizations from traditional static dimensionality reduction visualization methods
- dynamo-release — Mapping Vector Field of Single Cells
- dyneusr-fire — A command line interface for DyNeuSR
- edvart — Effective data visualization and reporting tool
- eir-dl — no summary
- ElementEmbeddings — Element Embeddings
- embedding-explorer — Tools for interactive visual inspection of semantic embeddings.
- embedding-lenses — no summary
- embeddings_plot — A command line utility to create plots of word embeddings
- encord-active — Enable users to improve machine learning models in an active learning fashion via data, label, and model quality.
- EtaML — An automated machine learning platform with a focus on explainability
- ethome-ml — Machine learning for animal behavior analysis
- evolutionary-forest — An open source python library for automated feature engineering based on Genetic Programming
- exdimred — Toybox for intuitive evaluation of dimensionality reduction
- ExpoSeq — A pacakge which provides various ways to analyze NGS data from phage display campaigns
- fastgraphml — Given an input graph the library generates graph embeddings using Low-Code built on top of PyG
- fba — Tools for single-cell feature barcoding analysis
- featransform — Featransform is an automated feature engineering framework for supervised machine learning
- 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.
- fiiireflyyy — A python package covering miscellaneous uses, from system management to machine learning and image or data processing. Developed for personal uses.
- flight-genome — flight - metagenomic binner and variant clusterer.
- flowws-structure-pretraining — Stage-based scientific workflows for pretraining deep learning models on self-assembly data
- FlyBrainLab — FlyBrainLab User-side Backend
- ftis — The finding things in stuff package.
- funasr — FunASR: A Fundamental End-to-End Speech Recognition Toolkit
- galactic-ai — Curate, annotate, and clean massive unstructured text datasets for machine learning and AI systems.
- geneseq — Process genomic data
- genevector — Single Cell GeneVector Library
- genni — GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability
- genomap — Genomap converts tabular gene expression data into spatially meaningful images.
- gfpa — Gene function and cell surface protein association analysis based on single-cell multiomics data.
- giotto-tda — Toolbox for Machine Learning using Topological Data Analysis.
- giotto-tda-nightly — Toolbox for Machine Learning using Topological Data Analysis.
- giskard — The testing framework dedicated to ML models, from tabular to LLMs
- giskard-toolbox — A random collection of tools I find useful for data science.
- gleipnir-tcr — Gleipnir
- GMMchi-scs-pipeline — Pre-print version of the GMMchi-based single cell postprocessing pipeline
- gobbli — Uniform interface to deep learning approaches via Docker containers.
- GradientDR — A package for evaluating dimensionality reduction algorithms
- GRADitude — A tool for the analysis of GRAD-seq data
- graph-attention-student — MEGAN: Multi Explanation Graph Attention Network
- graphistry — A visual graph analytics library for extracting, transforming, displaying, and sharing big graphs with end-to-end GPU acceleration
- gratin — Random walk analysis tool using graph neural networks
- grnm — A comprehensive tool for gene regulatory network modeling.
- GSForge — Feature (gene) selection package for gene expression data.
- hades-nlp — Homologous Automated Document Exploration and Summarization - A powerful tool for comparing similarly structured documents
- hang — Hanzi Glyph Corpus Toolkit
- hctk — Hanzi Corpus toolkit
- hgct — Hanzi Glyph Corpus Toolkit
- hi-ml-cpath — Microsoft Health Futures package for deep learning on histopathology images
- hover — Label data at scale. Fun and precision included.
- hypersphere — Проект для работы с данными, распределенными на поверхности гиперсферы.
- hypertools — A python package for visualizing and manipulating high-dimensional data
- iDeLUCS — no summary
- ImageRecovery — Recover images from proximity information.
- imsy-htc — Framework for automatic classification and segmentation of hyperspectral images.
- iMVP-utils — Utils for interactive epitranscriptomic Motif Visualization and Sub-type Partitioning (iMVP).
- Indox — Indox Retrieval Augmentation
- intellihub — Python Client for INTELLIHUB.
- interactovery — Python module for interactional discovery.
- iQual — iQual is a package that leverages natural language processing to scale up interpretative qualitative analysis. It also provides methods to assess the bias, interpretability and efficiency of the machine-enhanced codes.
- isotools — Framework for the analysis of long read transcriptome sequencing data
- jac-misc — no summary
- jaseci-ai-kit — no summary
- jianglab — A package for Jiang lab
- knac-toolkit — Knowledge Augmented Clustering
- latentscope — Quickly embed, project, cluster and explore a dataset.
- leet-topic — A new transformer-based topic modeling library.
- lensed-umap — Untangle UMAP with lenses.
- lilac — Organize unstructured data
- LingerGRN — Gene regulatory network inference
- lit-nlp — Language Interpretability Tool.
- llama-index-packs-raptor — llama-index packs raptor integration
- localretriever — A simple Python package
- lssm — Modelling pipeline to develop and monitor Large Soil Spectral Models (LSSM)
- Lucid — Collection of infrastructure and tools for research in neural network interpretability.
- lucid2 — Collection of infrastructure and tools for research in neural network interpretability.
- macaw-py — MACAW molecular embedder and generator
- machine-learning-tools — Utility functions for sklearn and other machine learning utilities
- MANAclust — Multi Affinity Network Association
- markermap — Marker selection library for single-cell RNA-seq data
- mat_discover — Data-driven materials discovery based on composition or structure.
- matbench-discovery — A benchmark for machine learning energy models on inorganic crystal stability prediction from unrelaxed structures
- maupassant — no summary
- mazebox — A suite of tools for analyzing single-cell transcriptomics data
- MDA-learn — Manifold Discovery and Analysis (MDA) algorithm for deep learning feature space analysis.
- medtop — https://amyolex.github.io/medtop/
- meerkat-ml — Meerkat is building new data abstractions to make machine learning easier.
- metacells — Single-cell RNA Sequencing Analysis
- metats — Meta-Learning for Time Series Forecasting
- miaaim-python — Multi-omics Image Alignment and Analysis by Information Manifolds
- microbiome-toolbox — Microbiome Toolbox