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Published directory entries matching your search.
100 macOS Screensavers is a GitHub repository of minimalist screensavers for Mac OS X. The README lists 38 entries toward a target of 100, each with a download link and, for many entries, source code. Topics include list, macos, screensavers and swift.
This is a curated gallery of interesting Jupyter Notebooks, organized by topic categories including introductory tutorials, programming and computer science, statistics and machine learning, data science, mathematics, physics, chemistry, biology, earth science, geo-spatial data, linguistics, and text mining.
Applied ML is a curated collection of papers, articles and blogs about data science and machine learning in production, organized under topics such as data quality, recommendation, search and ranking, and MLOps. It is licensed under MIT and covers how organizations frame problems and which techniques worked.
GitHub index of awesome lists covering curated tools, libraries, learning resources, and topics.
A GitHub wiki with notes and articles about software quality and software testing. It collects learning resources, books and courses in English and Russian, along with cheatsheets and material on tools, test runners, formal specification and other testing topics.
Curated GitHub list of public datasets across science, government, finance, and research topics.
cheat.sh is a cheat sheet resource available on GitHub. It provides quick reference information and includes a command-line client named cht.sh. The project aims to offer concise documentation for various commands and programming topics.
)![stars] - CCNS is a Nostr-focused community platform centered around link aggregation and discussion topics.
Contexto is a context engine plugin for long-running OpenClaw and Hermes agents. It stores full episodes and retrieves relevant context after the context window fills, instead of losing constraints to summaries. It separates topics with semantic clustering and surfaces explainable paths. Managed hosting is available, and a fully local setup is documented.
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
dooit is a TUI todo manager built in Python with the Rich and Textual libraries. It offers an interactive terminal-based interface, configurable bars and colors, vim-like keybindings and branching, topic-separated todo lists.
Flight Fare Prediction is a GitHub repository that implements a machine learning project for predicting flight fares. The repository includes documentation such as a problem statement and topics related to the prediction task.
A course on generative modelling, currently unfinished, with the first approximately five lessons mostly done. It covers topics such as PyTorch basics, representations, CLIP, GANs, sequence modelling and transformers. No prior deep learning knowledge is assumed, though comfort with some Python and Jupyter Notebooks is expected.
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
LDA is a JavaScript library for node.js that performs Latent Dirichlet allocation topic modeling, extracting topics and related keywords from a collection of documents. It returns an array of topics, each with an array of terms and probabilities, and uses English stop-words by default.
MeTA is a modern C++ data sciences toolkit. It provides text tokenization including deep semantic features like parse trees, inverted and forward indexes with compression and caching strategies, ranking functions for searching indexes, topic models, classification algorithms, graph algorithms, language models, a CRF implementation for POS-tagging and shallow parsing, and wrappers for liblinear and libsvm.
MLBox is an open-source automated machine learning library implemented in Python, hosted in the AxeldeRomblay/MLBox GitHub repository. It provides contribution guidelines, project topic information, and resources documenting the library's functionality.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
A GitHub repository collecting AI learning resources, including over 100 cheat-sheets, free online books, courses, videos and lectures, papers, tutorials, researchers, websites, datasets, conferences, frameworks and tools. Topics include machine learning, deep learning, big data, data science and Python.
A repository archived by its owner and now read-only. It is an open solution to the TGS Salt Identification Challenge. The project is listed with data science and image segmentation topics. The readme states that support can no longer be provided.
Open-Source iOS Apps is a collaborative list of open-source iOS applications. The repository is tagged for topics including app, apple, ios, ipad, iphone, swift, swiftui and tvos. It includes README, APPSTORE, ARCHIVE, LATEST and contents.json files, a CC0-1.0 license and contributing guidance.
OSINT Dorks is a GitHub repository maintained by BushidoUK that collects search operators used in open-source intelligence work. It contains a GoogleDorks.csv file alongside ShodanAdversaryInfa.md and ShodanQueriesAppliances.csv files, covering Google dorks and Shodan queries. The repository is tagged with the topics bugbounty, cybersecurity, google-dorks, osint and shodan. Its about section states that no description or website is provided.
PC-Optimization-Hub is a GitHub repository collecting various resources devoted to performance and input lag optimization. It covers topics including benchmarking, debloat, DPC latency, frame times, polling rates and Windows optimization, and includes sections on data collection and physical setup.
A GitHub repository for topic modeling the released Sarah Palin emails using latent Dirichlet allocation. It includes scripts to prepare the emails, train an LDA model with Stanford's TMT, infer topics, extract email dates, and explore topics over time. The repository also describes a demo email browser for viewing the organized documents.
