Search Results for "recommendation system"
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Showing 67 open source projects for "recommendation system"
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Gorse Recommender System Engine
An open source recommender system service written in Go
...Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from recently inserted feedback. Provide GUI for data management, system monitoring, and cluster status checking. Gorse is an open-source recommendation system written in Go. Gorse aims to be a universal open-source recommender system that can be easily introduced into a wide variety of online services. -
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X's Recommendation Algorithm
Source code for the X Recommendation Algorithm
The Algorithm is Twitter’s open source release of the core ranking system that powers the platform’s home timeline. It provides transparency into how tweets are selected, prioritized, and surfaced to users, reflecting Twitter’s move toward openness in recommendation algorithms. The repository contains the recommendation pipeline, which incorporates signals such as engagement, relevance, and content features, and demonstrates how they combine to form ranked outputs. ... -
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RecBole
A unified, comprehensive and efficient recommendation library
...RecBole is developed based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose. It can be installed from pip, conda and source, and is easy to use. We have implemented more than 100 recommender system models, covering four common recommender system categories in RecBole and eight toolkits of RecBole2.0, including General Recommendation, Sequential Recommendation, Context-aware Recommendation, and Knowledge-based Recommendation and sub-packages. -
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RecAI
Bridging LLM and Recommender System
RecAI is an open-source research platform developed by Microsoft to explore how large language models can be integrated into modern recommender systems. Traditional recommender systems rely on structured behavioral data such as user interactions and item embeddings, while large language models excel at understanding language and reasoning about user preferences. RecAI aims to bridge these two domains by creating architectures and training methods that allow LLMs to function as intelligent... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Superlinked
Superlinked is a Python framework for AI Engineers
Superlinked is a Python framework designed for AI engineers to build high-performance search and recommendation applications that combine structured and unstructured data. -
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fireworks-tech-graph
Claude Code skill for generating production-quality SVG+PNG technical
...It aims to transform unstructured information into interconnected graphs that can be queried and analyzed for insights, making it easier to understand complex ecosystems such as software stacks or research fields. The system likely leverages AI techniques for entity extraction, relationship mapping, and graph construction, enabling automated knowledge organization. It can be used to power recommendation systems, research tools, or intelligent assistants that require contextual understanding of technical topics. The project emphasizes scalability and adaptability, allowing it to handle large datasets and evolving knowledge bases. ... -
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X For You Feed Algorithm
Algorithm powering the For You feed on X
X For You Feed Algorithm is the open-sourced core recommendation system that powers the For You feed on X (the social network formerly known as Twitter), and it represents one of the first times a major social platform has published production-level ranking code for public review and experimentation. The repository contains the full pipeline that ingests user engagement and content candidate data, processes it through retrieval, hydration, filtering, scoring, and selection layers, and ultimately ranks posts to show what appears in a user’s feed. ... -
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BestBlogs
A collection of top programming
...It typically integrates automated data collection and filtering mechanisms to gather blog posts from multiple sources, then categorizes and ranks them to improve discoverability. The system is designed to be lightweight and customizable, allowing developers to adapt it for specific niches, industries, or content strategies. BestBlogs can also serve as a foundation for building content recommendation systems, knowledge hubs, or developer portals. -
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Talos Linux
Talos Linux is a modern Linux distribution built for Kubernetes
Talos Linux is Linux designed for Kubernetes – secure, immutable, and minimal. Supports cloud platforms, bare metal, and virtualization platforms. All system management is done via an API. No SSH, shell or console. Production-ready supports some of the largest Kubernetes clusters in the world. Open source project from the team at Sidero Labs. It only takes 3 minutes to launch a Talos cluster on your laptop inside Docker. Talos reduces your attack surface. It's minimal, hardened and... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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AI Powered Knowledge Graph Generator
AI Powered Knowledge Graph Generator
...By incorporating AI techniques such as natural language processing and semantic reasoning, the project enables systems to automatically extract relationships and insights from large volumes of data. These capabilities make knowledge graph platforms particularly useful for applications such as recommendation engines, enterprise knowledge management, and research data exploration. The system emphasizes structured data modeling and graph-based queries that allow users to explore relationships that would be difficult to identify using traditional relational databases. -
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JuiceFS
JuiceFS is a distributed POSIX file system built on top of Redis
...Purposely built to serve big data scenarios such as self-driving model training, recommendation engine, and Next-generation Gene Sequencing, JuiceFS specializes in high performance and easier management of tens of billion of files management. We bring JuiceFS to developers with the hope that it will be easy to use, reliable, high-performance, and solve all your file storage problems in a cloud environment. -
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SuggestArr
Request recommended movies, TV shows and anime to Jellyseer/Overseer
...Once potential recommendations are identified, SuggestArr can automatically send download or request instructions to services like Jellyseer or Overseerr, which then coordinate with media download tools and libraries. The application includes a web interface that allows users to configure integrations, schedule automated recommendation jobs, and monitor system logs in real time. More recent versions also introduce optional large language model integration, enabling AI-driven personalized recommendations and natural language search for discovering content. -
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DCV Color Primitives
DCV Color Primitives Library
DCV Color Primitives is a library to perform image color model conversion. Aware of the underlying hardware and supplemental cpu extension sets (up to avx2). Support data coming from a single buffer or coming from multiple image planes. Support non-tightly packed data. Support images greater than 4GB (64 bit). Convert an image from bgra to nv12 (single plane) format containing yuv in BT601. You might want to propagate errors to the caller function or mix with some other error types. So far,... -
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SoulSync
Automated Music Discovery and Collection Manager
SoulSync is an intelligent music discovery and automation platform designed to bridge streaming services with self-hosted media libraries, enabling users to automatically grow and maintain curated music collections. The system continuously monitors selected artists and detects new releases, then generates personalized playlists such as Release Radar and Discovery Weekly using its built-in recommendation logic. It can automatically download missing tracks from multiple sources including Soulseek, YouTube, and Beatport, then verify file accuracy through AcoustID fingerprinting to ensure the correct audio was obtained. ... -
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owllook
Vertical novel search engine with unified reading and tracking tools
Owllook is an open source vertical search engine designed for discovering and reading online novels from multiple sources. Instead of redirecting users to different sites, the system parses content from many novel platforms and presents it in a unified reading interface. It focuses on providing a simple and comfortable reading experience with features such as searching for books, following updates, bookmarking chapters, and maintaining a personal bookshelf. It aggregates results from... -
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AudioMuse-AI
AudioMuse-AI is an Open Source Dockerized environment
...AudioMuse-AI integrates with several popular self-hosted music servers including Jellyfin, Navidrome, and Emby, allowing users to extend existing media servers with advanced AI-powered recommendation capabilities. The system uses machine learning and audio analysis tools such as Librosa and ONNX models to extract features directly from audio tracks. -
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ComfyUI-Copilot
AI assistant for ComfyUI workflow generation, debugging, and tuning
ComfyUI-Copilot is an AI-powered assistant designed to extend the capabilities of ComfyUI by simplifying and automating complex workflow development tasks. It functions as a custom node integrated directly into the ComfyUI environment, allowing users to interact with workflows through natural language and intelligent suggestions. ComfyUI-Copilot focuses on reducing the complexity of building node-based pipelines for generative AI tasks such as image generation, making it more accessible to... -
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applied-ml
Papers & tech blogs by companies sharing their work on data science
The applied-ml repository is a rich, curated collection of papers, technical articles, and case-study blog posts about how machine learning (ML) and data-driven systems are applied in real production environments by major companies. Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. It acts as a... -
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MyScaleDB
A @ClickHouse fork that supports high-performance vector search
MyScaleDB is an open-source SQL vector database designed for building large-scale AI and machine learning applications that require both analytical queries and semantic vector search. The system is built on top of the ClickHouse database engine and extends it with specialized indexing and search capabilities optimized for vector embeddings. This design allows developers to store structured data, unstructured text, and high-dimensional vector embeddings within a single database platform.... -
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AWS Node Termination Handler
Gracefully handle EC2 instance shutdown within Kubernetes
This project ensures that the Kubernetes control plane responds appropriately to events that can cause your EC2 instance to become unavailable, such as EC2 maintenance events, EC2 Spot interruptions, ASG Scale-In, ASG AZ Rebalance, and EC2 Instance Termination via the API or Console. If not handled, your application code may not stop gracefully, take longer to recover full availability, or accidentally schedule work to nodes that are going down. Secure and resizable compute capacity for... -
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mall
Set of ecommerce systems, including the front-end and back-end
mallThe project is an e-commerce system, including a front-end mall system and a back-end management system, implemented based on SpringBoot+MyBatis, and deployed with Docker containers. The front-end mall system includes homepage portal, product recommendation, product search, product display, shopping cart, order process, member center, customer service, help center and other modules. -
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apt-sel
Backup and restore apt package selections
On an apt / dpkg based Linux system, dump the list of installed packages in a file and select the same packages for installation, preferrably on a different system or version. Other than the usual recommendation `dpkg --get-selections` and `dpkg --set-selections` this keeps the information about automatic dependencies intact. -
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Transformers4Rec
Transformers4Rec is a flexible and efficient library
Transformers4Rec is an advanced recommendation system library that leverages Transformer models for sequential and session-based recommendations. The library works as a bridge between natural language processing (NLP) and recommender systems (RecSys) by integrating with one of the most popular NLP frameworks, Hugging Face Transformers (HF). Transformers4Rec makes state-of-the-art transformer architectures available for RecSys researchers and industry practitioners. -
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Tria Sistema Operatiu
Helps you find, download & burn the best Operating System for any PC
Tria O.S. detects hard & soft specs of the PC where you run it, you can load this info or specify it manually to let the program inform you what would be the best operating system for a specific PC, with the specified hardware, and then see the difference by adding RAM, a SSD hard drive, changing the graphics card ... etc. REQUIREMENTS: For Linux, you need GAMBAS 3.3 or later, so you will have to install the gambas3 package before installing. 90's EDITION needs 160 MB (192 MB on... -
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