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StepByStepML provides free online machine learning calculators that solve algorithms step-by-step for computer science exams. Users input a dataset and the site shows the full manual calculation for algorithms including K-Means, Minimax, KNN, A* Search, and evaluation metrics. Theory guides accompany the interactive solvers, and the site states it is built for CS students.
I am trask is a machine learning craftsmanship blog. Posts listed include Decentralized AI in 50 Lines of Python, Is the Universe Random?, Safe Crime Detection, Deep Learning without Backpropagation and Building Safe A.I.
mlpack is a header-only C++ machine learning library with bindings to Python, Julia, R, Go, and the command line. It is built on Armadillo, ensmallen, and cereal and provides implementations of machine learning algorithms. The documentation lists classification, regression, clustering, and preprocessing facilities. It is open source under the 3-clause BSD license.
AI-Flow is an open source, user-friendly UI application for creating workflows with different AI models. It lets users chain models from OpenAI, Replicate, Anthropic and others to automate content creation pipelines, and workflows can be shared as apps. Users may supply their own API keys or use platform credits.
The Pile is an 825 GiB open source language modelling data set made of 22 smaller high-quality datasets combined together. It is offered as a training set and as a benchmark, and is distributed as jsonlines data compressed with zstandard.
Git Large File Storage (Git LFS) is an open source Git extension for versioning large files. It replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git while storing the file contents on a remote server like GitHub.com or GitHub Enterprise. Installation is available for Windows, Mac, and Linux. Tracking file types does not convert pre-existing files, which requires the git lfs migrate command.
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StepByStepML provides free online machine learning calculators that solve algorithms step-by-step for computer science exams. Users input a dataset and the site shows the full manual calculation for algorithms including K-Means, Minimax, KNN, A* Search, and evaluation metrics. Theory guides accompany the interactive solvers, and the site states it is built for CS students.
I am trask is a machine learning craftsmanship blog. Posts listed include Decentralized AI in 50 Lines of Python, Is the Universe Random?, Safe Crime Detection, Deep Learning without Backpropagation and Building Safe A.I.
mlpack is a header-only C++ machine learning library with bindings to Python, Julia, R, Go, and the command line. It is built on Armadillo, ensmallen, and cereal and provides implementations of machine learning algorithms. The documentation lists classification, regression, clustering, and preprocessing facilities. It is open source under the 3-clause BSD license.
AI-Flow is an open source, user-friendly UI application for creating workflows with different AI models. It lets users chain models from OpenAI, Replicate, Anthropic and others to automate content creation pipelines, and workflows can be shared as apps. Users may supply their own API keys or use platform credits.
The Pile is an 825 GiB open source language modelling data set made of 22 smaller high-quality datasets combined together. It is offered as a training set and as a benchmark, and is distributed as jsonlines data compressed with zstandard.
Git Large File Storage (Git LFS) is an open source Git extension for versioning large files. It replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git while storing the file contents on a remote server like GitHub.com or GitHub Enterprise. Installation is available for Windows, Mac, and Linux. Tracking file types does not convert pre-existing files, which requires the git lfs migrate command.
