Showing 21-40 of 95 projects
Automated Machine Learning with scikit-learn
An open-source Python library for automated feature engineering in machine learning.
A comprehensive code repository for the popular 'Python Machine Learning (2nd edition)' book, covering data science, machine learning, and deep learning topics.
Interpret is a framework for fitting interpretable machine learning models and explaining black-box models.
Flower is a federated learning framework that enables machine learning on decentralized data.
A curated list of project tutorials for project-based learning, covering a wide range of technologies including AI and machine learning.
Interactive data analysis tool with machine learning, visualization, and decision tree capabilities
scikit-learnไธญๆๆๆกฃ
A Python library for learning machine learning and deep learning using PyTorch and Scikit-Learn.
A repository containing code examples from the popular Python Machine Learning book, covering topics like deep learning and scikit-learn.
Comprehensive machine learning repository with 30+ notebooks covering various ML concepts and techniques.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.
A comprehensive collection of tutorials and resources for AI, deep learning, and machine learning in Python.
A Chinese translation of the book 'Hands-On Machine Learning with Scikit-Learn and TensorFlow' for developers interested in machine learning and AI tools.
Jupyter notebooks for learning and experimenting with the popular scikit-learn machine learning library.
A collection of articles on machine learning concepts and techniques by the author
A comprehensive collection of AI-powered tools, techniques, and resources for building advanced data-driven applications.
Seamlessly integrate large language models (LLMs) like ChatGPT into scikit-learn machine learning pipelines.
High-performance symbolic regression library for Python and Julia, with support for explainable AI.
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