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Title: GitHub - AlbertNegura/mlops-python-package: Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

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Description: Kickstart your MLOps initiative with a flexible, robust, and productive Python package. - AlbertNegura/mlops-python-package

Open Graph Description: Kickstart your MLOps initiative with a flexible, robust, and productive Python package. - AlbertNegura/mlops-python-package

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Programming	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#programming
Language: Python	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#language-python
Version: Pyenv	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#version-pyenv
Observability	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#observability
Reproducibility: Mlflow Project	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#reproducibility-mlflow-project
Monitoring : Mlflow Evaluate	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#monitoring--mlflow-evaluate
Alerting: Plyer	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#alerting-plyer
Lineage: Mlflow Dataset	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#lineage-mlflow-dataset
Explainability: SHAP	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#explainability-shap
Infrastructure: Mlflow System Metrics	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#infrastructure-mlflow-system-metrics
Tips	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#tips
AI/ML Practices	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#aiml-practices
Data Catalog	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#data-catalog
Hyperparameter Optimization	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#hyperparameter-optimization
Data Splits	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#data-splits
Design Patterns	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#design-patterns
Directed-Acyclic Graph	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#directed-acyclic-graph
Program Service	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#program-service
Soft Coding	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#soft-coding
SOLID Principles	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#solid-principles
IO Separation	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#io-separation
Python Powers	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#python-powers
Context Manager	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#context-manager
Python Package	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#python-package
Software Engineering	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#software-engineering
Code Typing	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#code-typing
Config Typing	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#config-typing
Dataframe Typing	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#dataframe-typing
Object Oriented	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#object-oriented
Semantic Versioning	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#semantic-versioning
Testing Tricks	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#testing-tricks
Parallel Testing	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#parallel-testing
Test Fixtures	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#test-fixtures
VS Code	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#vs-code
Code Workspace	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#code-workspace
GitHub Copilot	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#github-copilot
VSCode VIM	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#vscode-vim
Resources	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#resources
Python	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#python
AI/ML/MLOps	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#aimlmlops
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#install
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#prerequisites
Python>=3.12	https://www.python.org/downloads/
the latest features and performance improvements	https://docs.python.org/3/whatsnew/3.12.html
uv>=0.5.5	https://docs.astral.sh/uv/
virtual environment	https://docs.python.org/3/library/venv.html
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#installation
Clone this GitHub repository	https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository
Run the project installation with uv	https://docs.astral.sh/uv/
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#next-steps
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#usage
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#configuration
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#execution
Pydantic Discriminated Unions	https://docs.pydantic.dev/latest/concepts/unions/#discriminated-unions
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#automation
command-line	https://www.pyinvoke.org/
VS Code extension	https://marketplace.visualstudio.com/items?itemName=dchanco.vsc-invoke
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Commitizen	https://commitizen-tools.github.io/commitizen/
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SemVer	https://semver.org/
PEP 440	https://peps.python.org/pep-0440/
Pre-Commit	https://pre-commit.com/
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Git Hooks	https://git-scm.com/book/en/v2/Customizing-Git-Git-Hooks
PyInvoke	https://www.pyinvoke.org/
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#tasks-pyinvoke
Make	https://www.gnu.org/software/make/manual/make.html
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GitHub Actions	https://github.com/features/actions
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#runner-github-actions
GitLab	https://about.gitlab.com/
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#cli
Argparse	https://docs.python.org/3/library/argparse.html
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#parser-argparse
Typer	https://typer.tiangolo.com/
Fire	https://github.com/google/python-fire
Click	https://click.palletsprojects.com/en/latest/
Loguru	https://loguru.readthedocs.io/en/stable/
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Logging	https://docs.python.org/3/library/logging.html
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Coverage	https://coverage.readthedocs.io/en/latest/
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VS Code	https://code.visualstudio.com/
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PyCharm	https://www.jetbrains.com/pycharm/
Vim	https://www.vim.org/
Spacemacs	https://www.spacemacs.org/
Ruff	https://docs.astral.sh/ruff/
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YAPF	https://github.com/google/yapf
Isort	https://pycqa.github.io/isort/
Black	https://black.readthedocs.io/en/stable/
Ruff	https://docs.astral.sh/ruff/
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Great integration with VS Code	https://marketplace.visualstudio.com/items?itemName=charliermarsh.ruff
PyLint	https://www.pylint.org/
Flake8	https://flake8.pycqa.org/en/latest/
Bandit	https://bandit.readthedocs.io/en/latest/
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Pytest	https://docs.pytest.org/en/latest/
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Unittest	https://docs.python.org/fr/3/library/unittest.html
Mypy	https://mypy-lang.org/
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PyRight	https://github.com/microsoft/pyright
PyType	https://google.github.io/pytype/
Pyre	https://pyre-check.org/
Git	https://git-scm.com/
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https://xkcd.com/1597/	https://xkcd.com/1597/
Mercurial	https://www.mercurial-scm.org/
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YAML	https://yaml.org/
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JSON	https://www.json.org/json-en.html
TOML	https://toml.io/en/
OmegaConf	https://omegaconf.readthedocs.io/en/2.3_branch/
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cloudpathlib	https://cloudpathlib.drivendata.org/stable/
Hydra	https://hydra.cc/docs/intro/
DynaConf	https://www.dynaconf.com/
Cloudpathlib	https://cloudpathlib.drivendata.org/stable/
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Pydantic	https://docs.pydantic.dev/latest/
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Dataclass	https://docs.python.org/3/library/dataclasses.html
Attrs	https://www.attrs.org/en/stable/
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Pandas	https://pandas.pydata.org/
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gotchas	https://www.tutorialspoint.com/python_pandas/python_pandas_caveats_and_gotchas.htm
Polars	https://www.pola.rs/
Pyspark	https://spark.apache.org/docs/latest/api/python/
Parquet	https://parquet.apache.org/
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CSV	https://en.wikipedia.org/wiki/Comma-separated_values
Avro	https://avro.apache.org/
Pandera	https://pandera.readthedocs.io/en/stable/
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Great Expectations	https://greatexpectations.io/
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pdoc	https://pdoc.dev/
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Sphinx	https://www.sphinx-doc.org/en/master/
Mkdocs	https://www.mkdocs.org/
Google	https://google.github.io/styleguide/pyguide.html
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Numpy	https://numpydoc.readthedocs.io/en/latest/format.html
Sphinx	https://sphinx-rtd-tutorial.readthedocs.io/en/latest/docstrings.html
GitHub Pages	https://pages.github.com/
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ReadTheDocs	https://about.readthedocs.com/?ref=readthedocs.com
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Scikit-Learn Metrics	https://scikit-learn.org/stable/modules/model_evaluation.html
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Mlflow Model	https://mlflow.org/docs/latest/models.html
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Pickle	https://docs.python.org/3/library/pickle.html
ONNX	https://onnx.ai/
no guaranteed compatibility for the rest	https://onnxruntime.ai/docs/reference/compatibility.html
Mlflow Registry	https://mlflow.org/docs/latest/model-registry.html
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Neptune.ai	https://neptune.ai/
Weights and Biases	https://wandb.ai/site
Mlflow Tracking	https://mlflow.org/docs/latest/tracking.html
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Neptune.ai	https://neptune.ai/
Weights and Biases	https://wandb.ai/site
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Changelog	https://en.wikipedia.org/wiki/Changelog
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#evolution-changelog
Commitizen	https://commitizen-tools.github.io/commitizen/changelog/
Keep a Changelog	https://keepachangelog.com/
Wheel	https://peps.python.org/pep-0427/
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Has several advantages	https://realpython.com/python-wheels/#advantages-of-python-wheels
Source	https://docs.python.org/3/distutils/sourcedist.html
Conda	https://conda.io/projects/conda/en/latest/user-guide/install/index.html
uv	https://docs.astral.sh/uv/
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Setuptools	https://docs.python.org/3/distutils/setupscript.html
Poetry	https://python-poetry.org/
https://xkcd.com/1987/	https://xkcd.com/1987/
Docker	https://www.docker.com/resources/what-container/
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Conda	https://docs.conda.io/en/latest/
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Python	https://www.python.org/
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R	https://www.r-project.org/
Julia	https://julialang.org/
Pyenv	https://github.com/pyenv/pyenv
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Mlflow Project	https://mlflow.org/docs/latest/projects.html
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DVC	https://dvc.org/
Metaflow	https://metaflow.org/
Apache Airflow	https://airflow.apache.org/
Mlflow Evaluate	https://mlflow.org/docs/latest/model-evaluation/index.html
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Giskard	https://www.giskard.ai/
Evidently	https://www.evidentlyai.com/
Arize AI	https://arize.com/
Graphana	https://grafana.com/
Plyer	https://github.com/kivy/plyer
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Slack	https://slack.com/
Datadog	https://www.datadoghq.com/
Mlflow Dataset	https://mlflow.org/docs/latest/tracking/data-api.html
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Databricks Lineage	https://docs.databricks.com/en/admin/system-tables/lineage.html
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SHAP	https://shap.readthedocs.io/en/latest/
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LIME	https://github.com/marcotcr/lime
Mlflow System Metrics	https://mlflow.org/docs/latest/system-metrics/index.html
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Datadog	https://www.datadoghq.com/
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#tips
AI/ML Practices	https://machinelearningmastery.com/
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Data Catalog	https://docs.kedro.org/en/stable/data/data_catalog.html
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Hyperparameter Optimization	https://en.wikipedia.org/wiki/Hyperparameter_optimization
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Bayesian	https://en.wikipedia.org/wiki/Bayesian_optimization
Optuna	https://optuna.org/
Data Splits	https://machinelearningmastery.com/difference-test-validation-datasets/
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Design Patterns	https://en.wikipedia.org/wiki/Software_design_pattern
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#design-patterns
Directed-Acyclic Graph	https://en.wikipedia.org/wiki/Directed_acyclic_graph
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PyInvoke	https://www.pyinvoke.org/
Airflow	https://airflow.apache.org/
Dagster	https://dagster.io/
Prefect	https://www.prefect.io/
Metaflow	https://metaflow.org/
ZenML	https://zenml.io/
Program Service	https://en.wikipedia.org/wiki/Systemd
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#program-service
Singleton	https://en.wikipedia.org/wiki/Singleton_pattern
Global Variable	https://en.wikipedia.org/wiki/Global_variable
Component	https://github.com/stuartsierra/component
Clojure mount	https://github.com/tolitius/mount
Soft Coding	https://en.wikipedia.org/wiki/Softcoding
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SOLID Principles	https://en.wikipedia.org/wiki/SOLID
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#solid-principles
Pydantic Tagged Unions	https://docs.pydantic.dev/dev-v2/usage/types/unions/#discriminated-unions-aka-tagged-unions
IO Separation	https://en.wikibooks.org/wiki/Haskell/Understanding_monads/IO
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#io-separation
Python Powers	https://realpython.com/
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Context Manager	https://docs.python.org/3/library/contextlib.html
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#context-manager
Monad	https://en.wikipedia.org/wiki/Monad_(functional_programming)
Python Package	https://packaging.python.org/en/latest/tutorials/packaging-projects/
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Software Engineering	https://en.wikipedia.org/wiki/Software_engineering
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Code Typing	https://docs.python.org/3/library/typing.html
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typing module	https://docs.python.org/3/library/typing.html
mypy	https://mypy-lang.org/
Config Typing	https://docs.pydantic.dev/latest/
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#config-typing
Dataframe Typing	https://pandera.readthedocs.io/en/stable/
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#dataframe-typing
Object Oriented	https://en.wikipedia.org/wiki/Object-oriented_programming
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#object-oriented
polymorphism	https://en.wikipedia.org/wiki/Polymorphism_(computer_science)
abc module	https://docs.python.org/3/library/abc.html
Semantic Versioning	https://semver.org/
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#semantic-versioning
Testing Tricks	https://en.wikipedia.org/wiki/Software_testing
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#testing-tricks
Parallel Testing	https://pytest-xdist.readthedocs.io/en/stable/
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#parallel-testing
pytest-xdist plugin	https://pytest-xdist.readthedocs.io/en/stable/
Test Fixtures	https://docs.pytest.org/en/latest/explanation/fixtures.html
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fixtures	https://docs.pytest.org/en/latest/explanation/fixtures.html
VS Code	https://code.visualstudio.com/
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Code Workspace	https://code.visualstudio.com/docs/editor/workspaces
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Code Workspace	https://code.visualstudio.com/docs/editor/workspaces
GitHub Copilot	https://github.com/features/copilot
	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#github-copilot
GitHub Copilot	https://github.com/features/copilot
VSCode VIM	https://marketplace.visualstudio.com/items?itemName=vscodevim.vim
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https://github.com/krzjoa/awesome-python-data-science#readme	https://github.com/krzjoa/awesome-python-data-science#readme
https://github.com/ml-tooling/best-of-ml-python	https://github.com/ml-tooling/best-of-ml-python
https://github.com/ml-tooling/best-of-python	https://github.com/ml-tooling/best-of-python
https://github.com/ml-tooling/best-of-python-dev	https://github.com/ml-tooling/best-of-python-dev
https://github.com/vinta/awesome-python	https://github.com/vinta/awesome-python
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https://github.com/josephmisiti/awesome-machine-learning	https://github.com/josephmisiti/awesome-machine-learning
https://github.com/visenger/awesome-mlops	https://github.com/visenger/awesome-mlops
fmind.github.io/mlops-python-package/	https://fmind.github.io/mlops-python-package/
Readme	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#readme-ov-file
MIT license	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package#MIT-1-ov-file
Please reload this page	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package
Activity	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package/activity
0 stars	https://patch-diff.githubusercontent.com/AlbertNegura/mlops-python-package/stargazers
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