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imbalanced-learn.org
An open source, MIT-licensed Python library imported as imblearn that relies on scikit-learn. It provides tools for classification with imbalanced classes. The documentation includes installation guides, a user guide, an API reference and a gallery of examples.
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github.com
The oneAPI Data Analytics Library (oneDAL) is a library for data analytics. It is hosted on GitHub under the uxlfoundation/oneDAL repository. The repository provides usage examples, installation instructions, and documentation.
github.com
ipychart is a Python library that brings the power of Chart.js to Python. It is hosted on GitHub at https://github.com/nicohlr/ipychart. The repository includes installation instructions, documentation, usage examples, and development information.
javascript.info
The Modern JavaScript Tutorial offers simple but detailed explanations with examples and tasks covering closures, document and events, object oriented programming and more. The JavaScript language part starts from scratch and goes on to advanced concepts like OOP, concentrating on the language itself. A translation page lists translations into various languages.
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github.com
JSMLT is an open source JavaScript library for education in machine learning. It implements supervised learning algorithms, including SVM, random forest, decision tree, perceptron, neural networks, k-nearest neighbors and logistic regression, and provides visualization examples for exploring how the algorithms work.
colab.research.google.com
Notebook with examples of using Jupyter Widgets in Colab, allowing interactive inputs.
github.com
kixistats is a library of statistical distribution sampling and transducing functions. It provides tools for statistical analysis. The project is open-source and available on GitHub, with documentation, installation instructions, and usage examples.
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aimultiple.com
This webpage provides a curated list of large language model examples, alongside insights on business adoption, language model training, and influential models. It includes comparative analysis of leading LLMs such as OpenAI’s GPT-5, Claude 4.6, Gemini, DeepSeek-R1, Qwen, Llama 4, and xAI Grok-4 and Grok-4.1.
kimallen.sheepdogdesign.net
A tutorial site presenting basic principles of Japanese grammar and usage for learners who think in a Western language. It compares and contrasts English and Japanese grammar rather than relying on memorized patterns, and Japanese examples are written in romaji rather than kana and kanji. Topics include verbs, particles and sentence structure.
learnopengl.com
LearnOpenGL is an online book and tutorial resource for learning modern core-profile OpenGL. It covers basics through advanced topics with clear examples and aims to be understandable for people without graphics programming experience while remaining useful to experienced readers. Chapters discuss core graphics concepts, lighting, model loading and post-processing, and a walkthrough series builds a small game.
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making.lyst.com
LightFM is a Python implementation of recommendation algorithms for implicit and explicit feedback. It allows item and user metadata to be incorporated into matrix factorization algorithms, representing users and items as sums of latent feature representations. Installation is available from PyPI, and a Docker setup is provided for running examples and tests.
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linear.axler.net
Linear Algebra Done Right is a textbook for a second course in linear algebra aimed at undergraduate math majors and graduate students. The fourth edition is an Open Access book under a Creative Commons BY-NC license, available free electronically in English, Chinese, Farsi, Greek, Hebrew, and Portuguese. It contains over 250 new exercises and over 70 new examples, and defers determinants to the end.
This is a blog post from Confident AI that serves as a guide to LLM evaluation metrics. It covers retrieval-augmented generation (RAG) metrics such as faithfulness and answer relevancy, agent metrics, LLM-as-a-judge approaches, and includes working DeepEval code examples.