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Open-source alternatives to Bustag

30 open-source projects similar to gxtrobot/bustag, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Bustag alternative.

  • nicolashug/surpriseالصورة الرمزية لـ NicolasHug

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    Surprise is a Python library for building and analyzing recommendation systems. It provides a comprehensive toolkit for implementing collaborative filtering to predict user preferences and generate item suggestions based on historical rating patterns. The library includes dedicated tools for hyperparameter optimization and model evaluation. It allows for searching through parameter sets to find the most effective configurations and utilizes a suite of metrics to measure prediction accuracy. The framework covers the full development workflow, including data loading from various sources, the c

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    This project is an end-to-end recommendation pipeline and framework designed for building generative recommendation engines. It utilizes large language models and vector search to facilitate personalized item discovery and produces item recommendations through tokenization and semantic alignment. The system integrates a generative recommendation engine with a multi-objective ranking system and a vector search retrieval pipeline. These components allow for the use of reasoning frameworks to perform inference over items and the application of re-ranking algorithms to optimize the diversity of t

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  • lyst/lightfmالصورة الرمزية لـ lyst

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    LightFM is a Python recommendation library and machine learning framework designed to predict user preferences. It implements a hybrid recommendation engine that combines collaborative filtering with content filtering by integrating user-item interaction data with descriptive metadata. The system utilizes hybrid matrix factorization to learn latent representations of users and items. It is specifically designed to handle implicit feedback, utilizing specialized loss functions such as Weighted Approximate Rank Pairwise and Bayesian Personalized Ranking to optimize item preferences for datasets

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    fun-rec is a learning guide and framework for building personalized recommendation systems, covering everything from deep learning ranking to generative recommendation paradigms. It provides instructional content on constructing industrial-grade architectures that span offline data processing and real-time online serving. The project distinguishes itself by focusing on generative recommendation, treating the suggestion process as a sequence-to-sequence task using large language models and transformer models to generate item identifiers rather than traditional ranking lists. It also emphasizes

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  • nodeshift/nodejs-reference-architectureالصورة الرمزية لـ nodeshift

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    This project provides a comprehensive architectural framework and set of standardized patterns for building, securing, and scaling production-ready Node.js applications. It serves as a foundational guide for establishing consistent development workflows, operational observability, and reliable service integration across distributed software systems. The framework distinguishes itself by emphasizing a schema-first approach to API development, ensuring that interface definitions drive the creation of server stubs, client libraries, and type definitions. It promotes a cloud-native posture by int

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    This project is a Sina Weibo web scraper and social media data pipeline designed to extract user profiles, posts, comments, and multimedia assets. It functions as a containerized data crawler that automates the collection and local storage of social media content and engagement metrics. The system includes a processing layer that uses large language models to analyze scraped text, generating summaries and sentiment analysis. It differentiates itself through a deployment-ready container model featuring an HTTP interface for managing extraction tasks and monitoring job progress. The crawler co

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    TikTokDownloader is a containerized automation tool designed for the systematic collection and archiving of social media content. It functions as an HTTP API-driven service that enables users to trigger automated media retrieval and metadata extraction tasks through standard web requests, facilitating the storage of videos, images, and platform data for offline analysis. The utility distinguishes itself through session-based web scraping, which utilizes browser cookies to authenticate requests and access restricted platform content that is otherwise unavailable. By maintaining active session

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  • lmeszinc/azurlaneautoscriptالصورة الرمزية لـ LmeSzinc

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    Romm is a self-hosted game library manager and ROM management web interface. It serves as a central server for storing and categorizing game files and emulator firmware, providing a web-based browser to organize collections through automated library scanning and metadata retrieval. The project distinguishes itself by integrating a web-based emulator frontend that uses WebAssembly to play games directly in the browser. It further provides a game save synchronization server that uses SSH-based synchronization to transfer save states and progress between the server and registered handheld device

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    Paper2Slides is an AI-driven presentation generator and content extractor designed to transform academic papers and scientific documents into structured slides and posters. It utilizes retrieval-augmented generation to distill key data points and identify critical figures while maintaining direct traceability to the original source text. The system functions as an AI slide designer that applies professional themes or custom visual styles defined through natural language. It integrates with external image generation services to produce high-quality visuals and research visualizations for acade

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  • alfred1984/interesting-pythonالصورة الرمزية لـ Alfred1984

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    This project is a collection of Python implementations for web scraping, network traffic interception, data analysis, and sentiment analysis. It provides methods for extracting structured data from websites and mobile application interfaces. The collection includes tools for capturing and analyzing network packets from mobile applications to identify hidden internal API endpoints. It also features scripts for evaluating the emotional tone and public perception of text data. The project covers data manipulation and transformation of large datasets, as well as the generation of charts and grap

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    immich-power-tools is a library management tool and metadata editor designed for Immich. It provides a set of utilities for performing bulk editing, organization, and curation of photos, people, and albums. The project features a gallery curator and a facial recognition cleanup system that merges duplicate person profiles. It includes an album suggestion engine to group assets and a natural language image search that translates human-language queries into structured filters. The toolset covers broad capability areas including digital photo analysis through an analytics dashboard, photo metad

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    ECommerceCrawlers is an educational collection of Python-based crawler scripts designed to extract data from a variety of public websites, including e-commerce platforms, social media sites, news outlets, and multimedia sources. The project serves as a learning resource for web scraping techniques, offering ready-to-run examples that demonstrate practical data extraction methods. The toolkit covers a broad range of data types, including product listings and prices from online retail platforms, public posts and profiles from social networking sites, articles from news and blogging platforms, p

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  • twitter/the-algorithm-mlالصورة الرمزية لـ twitter

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