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This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
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Reinforcement learning using Markov Decision Processes.
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Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
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A platform for reproducible and scalable machine learning and deep learning on kubernetes.
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Supports teaching, studying or skills practice with AI-guided learning tools.
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Open-source, low-code machine learning library in Python that automates machine learning workflows.
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A temporal extension of PyTorch Geometric for dynamic graph representation learning.
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A machine learning / bayesian inference assigning attributes to objects.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Roadmap to becoming an Artificial Intelligence Expert.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A comprehensive set of fairness metrics for datasets and machine learning models.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Code for Data Science at Olin College, Spring 2014.
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Approximate nearest neighbours implementation.