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Search: Machine-Learning-Collection
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Showing 10 results from 347
rohanmistry231/AI-ML-Books
GitHub MIT LicenseA curated collection of books, summaries, and resources focused on artificial intelligence and machine learning, covering algorithms, deep learning, and practical applications. Designed to support learners and professionals in mastering AI/ML concepts with recommended readings and notes.
External source
GitHub
snrazavi/Persian-AI-and-Machine-Learning-Glossary
GitHub Python MIT LicenseThis project aims to provide a comprehensive and up-to-date collection of Persian translations for technical terms and concepts in the field of artificial intelligence and machine learning. Our goal is to facilitate better communication and understanding of these complex topics for Persian-speaki... Read more
External source
GitHub
fetchai/colearn
GitHub Python OtherColearn is a collection of protocols for running multi-stakeholder machine learning that preserve data privacy
External source
GitHub
SciML/RootedTrees.jl
GitHub Julia MIT LicenseA collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)
External source
GitHub
floydhub/examples
GitHubFloydHub Examples โ A collection of boilerplates and examples of machine learning and deep learning models to build, train, and deploy on FloydHub
External source
GitHub
rosejn/torch-datasets
GitHub Lua BSD 3-Clause "New" or "Revised" LicenseA collection of machine learning datasets for use with Torch7.
External source
GitHub
fwilliams/fml
GitHub Python MIT LicenseFML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
External source
GitHub
BaderLab/Biomedical-Corpora
GitHubA collection of annotated biomedical corpora, which can be used for training supervised machine learning methods for various tasks in biomedical text-mining and information extraction.
External source
GitHub
Beckybams/AI-for-Waste-Management-Optimization
GitHubAI for Waste Management Optimization uses machine learning to predict waste bin fill levels, optimize collection routes, and reduce operational costs. By analyzing sensor and historical data, it enables smarter scheduling, improved efficiency, and lower environmental impact
External source
GitHub
rohan-paul/Awesome-Machine-Learning-DataScience_Resources
GitHubCurated Collection of Online and Free Resources for serious learning of Machine Learning and Data Science.
External source
GitHub
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Showing first 347 accessible GitHub results.