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Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Machine Learning Engineering Open Book
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Dependency injection framework for Python
Référentiel d'évaluation data science responsable et de confiance
Open source platform for the machine learning lifecycle
Track emissions from Compute and recommend ways to reduce their impact on the environment.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning