A GitHub repository holding the notebooks and code for the book "Introduction to Machine Learning with Python" by Andreas Mueller and Sarah Guido, together with the mglearn library of helper functions for figures and datasets. The book requires scikit-learn 0.20.0, and the code also needs numpy, scipy, matplotlib, pandas and pillow.
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joliGEN is an integrated framework for training custom generative AI image-to-image models. It implements GAN, diffusion and consistency models for paired and unpaired image-to-image translation, including domain and style adaptation that preserves semantics such as image and object classes and masks. A server with REST API is provided for deployment, and documentation includes quickstarts and dataset guidance.
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Kodi Addon is a GitHub-hosted add-on for the Kodi media center, developed by user skoruppa, designed to integrate content from the Docchi.pl platform. The repository includes documentation for the add-on's key features, installation steps, and guidance for both repository-based and manual ZIP file installation methods.
Labelbuddy is an open-source desktop GUI application for annotating documents, developed on GitHub. According to its documentation, it can be used for tasks such as Named Entity Recognition, sentiment analysis and document classification. The documentation states that it works completely offline and that its database is an ordinary file. Import and export use JSON, JSON Lines or plain text formats.
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m2cgen is a tool that transforms trained machine learning models into native code across a wide range of programming languages including Java, C, Python, Go, JavaScript, C#, R, PHP, Dart, Haskell, Ruby, F#, and Rust, with zero dependencies. Its codebase is hosted in the BayesWitnesses GitHub repository, which includes navigation for installation, development guidance, supported languages, and supported model types.
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Merlin is a deep learning framework for the Julia programming language, hosted as a GitHub repository under the user hshindo. The repository includes documentation, installation instructions, and a quick start guide for users.
Mesh TensorFlow is a tool designed to simplify model parallelism for distributed computation, hosted as a GitHub repository under the TensorFlow organization. The repository includes an introduction, guidance on use cases, and a getting started guide.
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