Machine Learning Algorithms
Showing 11 of 11 projects
A 12-week, 26-lesson curriculum teaching classic machine learning using Scikit-learn through hands-on projects and quizzes.
A Python ETL framework for stream processing, real-time analytics, and building live LLM/RAG pipelines, powered by a scalable Rust engine.
A top-down, hands-on daily study plan for software engineers transitioning into machine learning roles.
Python implementations of popular machine learning algorithms from scratch with interactive Jupyter demos and mathematical explanations.
Matlab implementation of machine learning algorithms from Bishop's Pattern Recognition and Machine Learning textbook.
A suite of GPU-accelerated machine learning algorithms with scikit-learn compatible APIs for 10-50x faster performance on large datasets.
A comprehensive collection of tutorials, examples, and resources for understanding and solving machine learning and pattern classification problems.
A Python machine learning toolkit for time series analysis with scikit-learn compatible API.
A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.
A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.
A modular active learning framework for Python built on scikit-learn, enabling rapid creation of custom workflows.
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