Shypd.aiThe largest open index of AI toolsdml is an open-source machine learning toolkit for Python, focusing on correctness and efficiency. It provides implementations of various ML algorithms like neural networks, logistic regression, and clustering.
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D's Machine Learning (dml) is an open-source machine learning toolkit for Python, built upon the robust foundations of NumPy and SciPy. It emphasizes both the correctness of its algorithms and computational efficiency. The toolkit includes a comprehensive set of machine learning implementations, such as Neural Networks, Logistic Regression (softmax), Decision Trees (CART algorithm), and various clustering algorithms including k-means, k-medoids, spectral clustering, and hierarchical clustering. Additionally, it features Adaboost, k-Nearest Neighbor (with kd-tree BBF), Naive Bayesian (supporting continuous and discrete features), Support Vector Machines, simple Convolutional Neural Networks, and Collaborative Filtering algorithms. The project currently supports Python 2, with a note that Python 3 users are not yet supported.
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