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PyBrain is a Python machine learning library distributed under a BSD-3-Clause license. The repository includes documentation, examples, and a setup script; installation requires SciPy and is performed with python setup.py install or by cloning the repository. The project provides a quickstart, tutorials, and an API reference in its documentation.
PyDexter is a Python wrapper for D3xter that renders charts in the browser using simple Python syntax. It supports histogram, scatter, plot, pie, timeline and bar chart examples. Installation is done with pip install PyDexter, and charts can be configured with settings such as height, width and title.
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Readsom hosts newsletters that are handpicked and filtered through topics so readers can explore and discover newsletters by interest. The site lists featured, top rated and recently added newsletters, with examples covering Web3, productivity, well-being and politics.
Gallery of email design examples for inspiration, campaigns, layouts, and marketing references.
An Appcues-powered gallery of UX examples covering onboarding tours, in-app feature announcements, user surveys and signup flows, alongside articles and a podcast featuring product and design experts. It is aimed at people seeking inspiration for mobile and web product experiences.
Red Blob Games publishes interactive visual explanations of math and algorithms, using examples from computer games and other projects. Topics include pathfinding, map generation from noise, hexagonal grids, Voronoi diagrams, graph theory and 2D visibility. Articles are free, with no signup and no ads, aimed mainly at independent, student and hobbyist software developers. The site also hosts demos such as map generators.
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The Registry of Open Data on AWS is a registry intended to help people discover and share datasets available via AWS resources. It links to usage examples and tutorials with associated SageMaker Studio Lab notebooks. Datasets are provided and maintained by third parties under various licenses, not by AWS unless stated.
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REP is a GitHub-hosted machine learning toolbox developed by Yandex, branded as a Reproducible Experiment Platform. It includes documentation for its main features, usage examples, and installation guidance for both Docker and manual setup.
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A Python implementation of Restricted Boltzmann Machines. It lets users initialize an RBM with a chosen number of visible and hidden units, train it on a matrix of training examples, run visible or hidden data, and let the network run freely. It is released under an MIT license.
Creates sample resumes and professional profiles using AI-generated examples for inspiration and practice.
A site offering lessons on the fundamentals of reverse engineering, binary analysis and software security. It describes hands-on tutorials, practical examples and real-world scenarios covering binary analysis, malware research, and static and dynamic analysis.
Translation and language tool with context examples, grammar help, and dictionary results.
Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.
Screenshot is a screenshot or image reference showing changes, evidence, examples, or notes.