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ML-From-Scratch: Machine Learning Models and Algorithms in NumPy
ML-From-Scratch is a comprehensive GitHub repository offering bare-bones NumPy implementations of fundamental machine learning models and algorithms. It emphasizes accessibility, making complex concepts easier to understand for learners and practitioners. This project covers a wide range of topics, from linear regression to deep learning and reinforcement learning, all implemented from scratch.
javascript-algorithms: A Comprehensive Guide to Data Structures and Algorithms
The `javascript-algorithms` repository by trekhleb offers a vast collection of algorithms and data structures implemented in JavaScript. Each example comes with clear explanations and links for further reading, making it an invaluable resource for learning and interview preparation. It covers a wide range of topics, from fundamental data structures to advanced algorithmic paradigms.