Shypd.aiThe largest open index of AI toolsMLAlgorithms is an open-source collection of minimal and clean machine learning algorithm implementations in Python. It is designed for individuals who want to learn the internal workings of ML algorithms or implement them from scratch.
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MLAlgorithms provides a comprehensive collection of machine learning algorithm implementations, including deep learning models like MLP, CNN, RNN, and LSTM, as well as classical algorithms such as linear regression, logistic regression, Random Forests, SVM, K-Means, and Naive Bayes. All algorithms are implemented in Python, leveraging libraries like NumPy, SciPy, and Autograd, making the code easy to follow and experiment with. This project is ideal for those who wish to understand the core mechanics of these algorithms without the complexity of highly optimized libraries, offering a simplified approach to learning and building ML models from the ground up.
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