Reverse Dependencies of umap-learn
The following projects have a declared dependency on umap-learn:
- 3lc — 3LC Python Package - A tool for model-guided, interactive data debugging and enhancements
- activetigger — ActiveTigger in Python
- aeiou — audio engineering i/o utils
- aggmap — Jigsaw-like AggMap: A Robust and Explainable Omics Deep Learning Tool
- ai4scr-scQUEST — scQUEST package
- aime-xai — AIME implementation for XAI
- aims-immune — A software for the analysis of immune repertoires
- albert-toolkit — Python toolkit for Albert Invent
- alphastats — An open-source Python package for automated and scalable statistical analysis of mass spectrometry-based proteomics
- am2eda — no summary
- Amazon-DenseClus — Dense Clustering for Mixed Data Types
- AnaText — "The program for solving the problem of exploratory text analysis based on clustering and approximation of the number of clusters."
- anlearn — Anomaly learn - the anomaly detection package
- antakia-core — Core modules for AntakIA
- ANTIPASTI — Deep Learning model that predicts the binding affinity of antibodies from their three-dimensional structure.
- antm — Aligned Neural Topic Model for Exploring Evolving Topics
- APEC — Single cell epigenomic clustering based on accessibility pattern
- approx-umap — Modification of the UMAP algorithm to allow for fast approximate projections of new data points.
- arize-phoenix — AI Observability and Evaluation
- ark-analysis — Toolbox for analysis on segmented images from MIBI.
- asaplib — Automatic Selection And Prediction tools for materials and molecules
- asoid — ASOiD: An active learning approach to behavioral classification
- astroCAST — Package to analyze calcium fluorescence events in astrocytes
- avatarpy — avatar analysis module
- aws-fortuna — A Library for Uncertainty Quantification.
- 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.
- bbknn — Batch balanced KNN
- Beaconet — A reference-free method for integration of multiple batches of scRNA-seq data.
- bechdelai — Automating the Bechdel test and its variants for feminine representation in movies with AI
- behaveml — Machine learning for animal behavior analysis
- bento-tools — A toolkit for subcellular analysis of RNA organization
- bertopic — BERTopic performs topic Modeling with state-of-the-art transformer models.
- besca — Collection of BEDA internal python functions for analysing single cell RNAseq data.
- bio-embeddings — A pipeline for protein embedding generation and visualization
- bio-pyminer — PyMINEr: automated biologic insights from large datasets.
- biobookshelf — a collection of python scripts and functions for exploratory analysis of bioinformatic data in Python
- biotranslator — BioTranslator: Cross-modal Translation for Zero-shot Biomedical Classification
- blechpy — Package for exrtacting, processing and analyzing Intan and OpenEphys data
- booleabayes — A suite for network inference from transcriptomics data
- btmodified — Modified version of Bertopics
- bunkatopics — Bunkatopics is a Topic Modeling package and Exploration Module
- cartoGRAPHs — A Network Layout and Visualization Package
- categorical-gpt — Transformation of categorical data to numerical feature vectors with Large Language Models
- ccsf — Leveraging cell-cell similarity from gene expression data for high-performance spatial and temporal cellular mappings.
- cell-analysis-tools — cell analysis tools
- Cell-BLAST — Single-cell transcriptome querying tool
- cell2cell — TBD
- celldancer — Study RNA velocity through neural network.
- cellforest — An interactive single-cell bioinformatics workflow manager
- celligner — A useful module for alligning cell lines to tumors
- cellshape — 3D shape analysis using deep learning
- cellshape-cloud — 3D cell shape analysis using geometric deep learning on point clouds
- celltraj — Toolset for single-cell trajectory modeling.
- celltraj-copperma — Toolset for single-cell trajectory modeling.
- 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
- chem_wasserstein — A high performance mapping class to construct ElM2D plots from large datasets of inorganic compositions.
- chemcharts — ChemCharts: Chemical Space Visualizer
- chemplot — A python library for chemical space visualization.
- CIxTools — Cheminformatics Tools
- Clusters-Features — The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set.
- cntm — Citation-informed Neural Topic Models
- cohortfinder — Intelligent data partitioning using quality control metrics
- combinatorial-gwas — A package for the final project of MIT's 6.874 class Deep Learning in Life Science
- concept — Topic Model Images
- confirms — Comprehension of trade term sheets and confirmations
- conspiracies — Discover and examine conspiracies using natural language processing
- convexgating — ConvexGating is a Python tool to infer optimal gating strategies for flow cytometry and cyTOF data.
- convince — Better instruction following for large language models
- coqui-tts — Deep learning for Text to Speech.
- corelay — Quickly compose single-machine analysis pipelines.
- corvic-engine — no summary
- crispr-chronos — Time series modeling of CRISPR perturbation readcounts in biological data
- cryodrgn — cryoDRGN heterogeneous reconstruction
- cylinter — CyLinter
- CytofDR — CyTOF Dimension Reduction Framework
- cytopy — Data centric algorithm agnostic cytometry analysis framework
- cytoself — An image feature extractor with self-supervised learning
- cytotools — A small package of utilities for analysis of cytometry data in Python
- daluke — A Danish-speaking language model with entity-aware self-attention
- das_unsupervised — Tools for unsupervised classification of acoustic signals.
- data-iq — Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
- datarobot-ts-helpers — A package with helper scripts for complex DataRobot AutoTS use cases
- datawhys — DataWhys API wrapper
- dcctk — Diachronic Character-based Corpus toolkit
- ddbg — Debugger for ML Datasets
- deepmol — DeepMol: a python-based machine and deep learning framework for drug discovery
- deepof — no summary
- DeepSecE — A Deep Learning Framework for Multi-class Secreted Effector Prediction in Gram-negative Bacteria.
- deepss_unsupervised — Tools for unsupervised classification of acoustic signals.
- deepvelo — Deep Velocity
- delve-fs — Feature selection for preserving biological trajectories from single-cell data
- DeSide — A DEep-learning and SIngle-cell based DEconvolution method for solid tumors
- devcellpy — devCellPy -- hierarchical multilayered classification of cells based on scRNA-seq
- DEWAKSS — Denoising Expression data with a Weighted Affinity Kernel and Self-Supervision.
- diffred — Official Implementation of "DiffRed: Dimensionality Reduction guided by stable rank"
- dimensionality-reduction-package — no summary
- divbrowse — A web application for interactive visualization and analysis of genotypic variant matrices