Reverse Dependencies of mkdocs-exclude

The following projects have a declared dependency on mkdocs-exclude:

• aerokit — Python tools for basic fluid mechanics computations
• annubes — ANNUBeS: training Artificial Neural Networks to Uncover Behavioral Strategies in neuroscience
• armory-suite — no summary
• autonomi-nos — Nitrous oxide system (NOS) for computer-vision.
• cfdtools — Tools for mesh and solution management in CFD
• charmory — Adversarial Robustness Evaluation Library
• check_mkdocs — Simple check/command-line tool that parses, validates and loads configuration, builds the mkdocs project documentation, and serves it via a web server
• convtools — dynamic, declarative data transformations with automatic code generation
• docutools — Documentation Tools for the Mkdocs Material Framework
• dycelib — Simple Python tools for exploring dice outcomes and other finite discrete probabilities
• edk2-pytool-extensions — Python tools supporting UEFI EDK2 firmware development
• edk2-pytool-library — Python library supporting UEFI EDK2 firmware development
• fedrq — fedrq is a tool to query the Fedora and EPEL repositories
• flask-mkdocs — no summary
• http-request-codegen — Multilanguage HTTP requests code generator.
• hypothesis-torch — Hypothesis strategies for various Pytorch structures, including tensors and modules.
• init-python-project — A python project generator.
• llm-datasets — A collection of datasets for language model training including scripts for downloading, preprocesssing, and sampling.
• lm-datasets — A collection of datasets for language model training including scripts for downloading, preprocesssing, and sampling.
• mat3ra-api-examples — Mat3ra API Examples
• mda-tui — A textual user interface (TUI) for MDAnalysis
• meiga — A simple, typed and monad-based Result type for Python
• mercury-dataschema — Mercury's DataSchema package allows the automatic recognition and validation of feature types.
• mercury-monitoring — Mercury's monitoring is a library to perform monitoring testing on models and/or datasets..
• mercury-robust — Mercury's robust is a library to perform robust testing on models and/or datasets..
• mkdocs-mdpo-plugin — Mkdocs plugin for translations using PO files.
• mne-bids-pipeline — A full-flegded processing pipeline for your MEG and EEG data
• osm-login-python — Use OSM Token exchange with OAuth2.0 for python projects.
• probdiffeq — Probabilistic numerical solvers for differential equations
• pydantic-pint — Pydantic validation for Pint Quantities.
• pykx — An interface between Python and q
• spotGUI — spotgui - GUI for the Sequential Parameter Optimization in Python
• spotPython — spotpython - Sequential Parameter Optimization in Python
• spyglass-neuro — Neuroscience data analysis framework for reproducible research
• synclane — framework-agnostic RPC API with a smart auto-generated TypeScript client
• tawazi — This library helps you execute a set of functions in a Directed Acyclic Graph (DAG) dependency structure in parallel in a production environment.
• taxpasta — TAXonomic Profile Aggregation and STAndardisation
• ticts — A Python library for unevenly-spaced time series analysis.
• torch-nos — Nitrous Oxide for your AI Infrastructure.