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@@ -188,7 +188,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
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-[feature_engine](https://github.com/feature-engine/feature_engine) - sklearn compatible API with the widest toolset for feature engineering and selection.
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-[h2o](https://github.com/h2oai/h2o-3) - Open Source Fast Scalable Machine Learning Platform.
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-[lightgbm](https://github.com/lightgbm-org/LightGBM) - A fast, distributed, high performance gradient boosting framework.
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-[mindsdb](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
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-[mindsdb](https://github.com/mindsdb/minds-platform) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
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-[pgmpy](https://github.com/pgmpy/pgmpy) - A Python library for probabilistic graphical models and Bayesian networks.
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-[scikit-learn](https://github.com/scikit-learn/scikit-learn) - The most popular Python library for Machine Learning with extensive documentation and community support.
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-*[scikit-lego](https://github.com/koaning/scikit-lego) - A collection of lego bricks for scikit-learn pipelines.
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-[aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS.
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-[datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data.
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-[data-profiling](https://github.com/Data-Centric-AI-Community/data-profiling) - Generate detailed data profiling reports for pandas DataFrames.
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-[data-profiling](https://github.com/Data-Centric-AI-Community/fg-data-profiling) - Generate detailed data profiling reports for pandas DataFrames.
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-[desbordante](https://github.com/desbordante/desbordante-core/) - An open source data profiler for complex pattern discovery.
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-[ibis](https://github.com/ibis-project/ibis) - A portable Python dataframe library with a single API for 20+ backends.
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-[modin](https://github.com/modin-project/modin) - A drop-in pandas replacement that scales workflows by changing a single line of code.
@@ -562,7 +562,7 @@ _Libraries for scientific computing. Also see [Python-for-Scientists](https://gi
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-[pydy](https://github.com/pydy/pydy) - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion.
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-[PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics) - This is a compilation of various robotics algorithms with visualizations.
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- Simulation and Modeling
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-[mesa](https://github.com/projectmesa/mesa) - An agent-based modeling framework for building, analyzing, and visualizing complex system simulations.
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-[mesa](https://github.com/mesa/mesa) - An agent-based modeling framework for building, analyzing, and visualizing complex system simulations.
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-[pathsim](https://github.com/pathsim/pathsim) - A block-based system modeling and simulation framework with a browser-based visual editor.
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-[pymc](https://github.com/pymc-devs/pymc) - Probabilistic programming and Bayesian modeling in Python.
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-[simpy](https://gitlab.com/team-simpy/simpy) - A process-based discrete-event simulation framework.
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-[weasyprint](https://github.com/Kozea/WeasyPrint) - A visual rendering engine for HTML and CSS that can export to PDF.
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- Markdown
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-[markdown-it-py](https://github.com/executablebooks/markdown-it-py) - Markdown parser with 100% CommonMark support, extensions, and syntax plugins.
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-[markdown](https://github.com/waylan/Python-Markdown) - A Python implementation of John Gruber’s Markdown.
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-[markdown](https://github.com/Python-Markdown/markdown) - A Python implementation of John Gruber’s Markdown.
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-[markitdown](https://github.com/microsoft/markitdown) - Python tool for converting files and office documents to Markdown.
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-[mistune](https://github.com/lepture/mistune) - Fastest and full featured pure Python parsers of Markdown.
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- Data Formats
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_Libraries for manipulating audio, video, and their metadata._
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- Audio
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-[birdnet](https://github.com/kahst/BirdNET-Analyzer) - Deep learning framework for acoustic species detection; identifies bird species from audio recordings using TensorFlow.
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-[birdnet](https://github.com/birdnet-team/BirdNET-Analyzer) - Deep learning framework for acoustic species detection; identifies bird species from audio recordings using TensorFlow.
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-[gtts](https://github.com/pndurette/gTTS) - Python library and CLI tool for converting text to speech using Google Translate TTS.
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-[KittenTTS](https://github.com/KittenML/KittenTTS) - Lightweight ONNX text-to-speech library with small CPU-friendly models.
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-[librosa](https://github.com/librosa/librosa) - Python library for audio and music analysis.
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- Metadata
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-[beets](https://github.com/beetbox/beets) - A music library manager and [MusicBrainz](https://musicbrainz.org/) tagger.
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-[mutagen](https://github.com/quodlibet/mutagen) - A Python module to handle audio metadata.
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-[tinytag](https://github.com/devsnd/tinytag) - A library for reading music meta data of MP3, OGG, FLAC and Wave files.
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-[tinytag](https://github.com/tinytag/tinytag) - A library for reading music meta data of MP3, OGG, FLAC and Wave files.
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### Game Development
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-[coconut](https://github.com/evhub/coconut) - A variant of Python built for simple, elegant, Pythonic functional programming.
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-[functools](https://docs.python.org/3/library/functools.html) - (Python standard library) Higher-order functions and operations on callable objects.
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-[funcy](https://github.com/Suor/funcy) - A fancy and practical functional tools.
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-[more-itertools](https://github.com/erikrose/more-itertools) - More routines for operating on iterables, beyond `itertools`.
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-[more-itertools](https://github.com/more-itertools/more-itertools) - More routines for operating on iterables, beyond `itertools`.
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-[returns](https://github.com/dry-python/returns) - A set of type-safe monads, transformers, and composition utilities.
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-[toolz](https://github.com/pytoolz/toolz) - A collection of functional utilities for iterators, functions, and dictionaries. Also available as [cytoolz](https://github.com/pytoolz/cytoolz/) for Cython-accelerated performance.
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