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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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A complete object-oriented environment for machine learning in Matlab.
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A Julia framework for probabilistic graphical models.
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Python library for working with Probabilistic Graphical Models.
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Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone.
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A JavaScript application framework for machine learning and its engineering.
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A better version of Jieba, developed by Peking University.
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Production-Ready LLM Agent SDK for Every Developer.
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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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Multilingual text (NLP) processing toolkit.
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A library for machine learning that builds predictions using a linear regression.
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A library for machine learning that builds predictions using a linear regression.
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Ask questions to your documents without an internet connection, using the power of LLMs.
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A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
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Another Python Machine Learning Library.
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Algorithmic Trading with Machine Learning.
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Open-source, low-code machine learning library in Python that automates machine learning workflows.
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Python interface for converting Penn Treebank trees to Stanford Dependencies.
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A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
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Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER).
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A Python library for implementing a Recommender System.
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A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
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Tensors and Dynamic neural networks in Python with strong GPU acceleration.