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Jellyfin is a free software media system comprising a server backend and API. It is an open-source project that provides media server functionality, with its server component development hosted on GitHub.
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The Kaggle Merck repository, hosted on GitHub under the user zygmuntz, contains code for the Merck challenge hosted on the Kaggle data science platform. It is an open-source project that accepts contributions via GitHub.
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The kaggle-bestbuy big repository, hosted on GitHub under the user zygmuntz, contains code for the Best Buy competition hosted on the Kaggle data science platform. It is an open-source project that accepts contributions from GitHub users.
github.com
LeanCTX is an open-source context gateway that sits between AI tools and the information they read. It selects task-relevant context, applies supported access and content controls, and records observable context operations and evidence. The engine can run locally through CLI, MCP, hooks and proxy paths, and an SDK embeds supported engine capabilities in applications.
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Lightwood is an AutoML framework that generates and customizes machine learning pipelines using a declarative JSON-AI syntax. It handles data types such as numbers, dates, categories, tags, text, arrays and multimedia formats, and includes a time-series mode. Users can override defaults or replace pipeline steps, and the framework generates Python code for the pipeline.
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Llama Coder is an open source Claude Artifacts alternative that generates small apps with one prompt, powered by Llama 3 on Together.ai. It uses Llama 3.1 405B from Meta for the LLM and an in-browser preview renderer.
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An alternative to Supabase for AI Code editors and Vibe Coding tools.
A repository of material for the exercise classes of a Big Data Analytics master course. Hands-on sessions cover Spark and its machine learning library, Map/Reduce implementations of linear regression and alternating least squares, streaming analytics with Recursive Least Squares, and image classification with convolutional neural networks. Material is provided as Jupyter notebooks.
github.com
Nanocoder is an open-source coding agent built for terminal use by a community collective rather than a corporate entity. It allows users to bring their own AI model, stores code locally on the user's machine, and does not require users to owe fees or obligations to a company. It is hosted as a public repository on GitHub.
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An open solution to the Data Science Bowl 2018, based on the topcoders winning solution from ods.ai. The repository was archived by the owner on Jun 22, 2022 and is now read-only. It uses PyTorch and references neptune.ml, though running it as a plain Python script is possible.
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An archived, read-only GitHub repository holding an open solution to the Google AI Open Images Object Detection Track. It offers starter code, configs and notebooks, with RetinaNet training and references to the Neptune experiment platform; Neptune use is optional and the code can run as a plain Python script. The README notes the competition used Open Images Dataset V4.
github.com
An archived, read-only GitHub repository holding an open solution to the Home Credit Default Risk challenge. It provides code, configs and notebooks plus documented solutions using LightGBM, sklearn and XGBoost with engineered features; the README lists cross-validation and leaderboard scores for each. References to Neptune are optional and the solution can run as a plain Python script.
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The AI coding agent built for the terminal.
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OpenRabbit is a free, open-source, self-hosted GitHub pull request reviewer. It analyzes PR diffs, consults a pluggable LLM provider such as Groq or OpenRouter, and posts a summary with inline comments. It runs entirely in GitHub Actions, so no server or hosting subscription is required, and code stays in the user's runner.
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Continue is an open source coding agent. It is hosted on the GitHub repository continuedev/continue, which includes project documentation and notes a final 2.0.0 release. Contributors can engage with the project by creating a GitHub account.
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Kilo - Open-source AI coding assistant for VS Code, JetBrains, and the CLI.
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Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.
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Vanna is an open source tool that enables users to interact with SQL databases via natural language. It uses large language models and agentic retrieval to generate accurate text-to-SQL queries.
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Open-source platform to run coding agents as managed workers with tasks, approvals, budgets, and workspaces.
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Plandex is an open source AI coding agent built for large projects and real-world tasks. It includes smart context management for large codebases, configurable autonomy levels, and tools to support producing production-ready results.
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Poirot is a native macOS companion app for Claude Code. Built with SwiftUI, it lets users browse sessions, explore diffs, and re-run commands. It also provides session analytics, usage limit gauges, conversation views, and search across sessions. The app requires no login and no analytics and works offline.
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Build tool for data science pipelines.
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Qwen3-Coder is the code version of the Qwen3 large language model series from the Qwen team. It is offered in multiple sizes, including Qwen3-Coder-480B-A35B-Instruct, Qwen3-Coder-30B-A3B-Instruct and Qwen3-Coder-Next, and the repository supports platforms such as Qwen Code, CLINE and Claude Code.
github.com
ReviewCerberus is an AI-powered code review tool that analyzes git branch differences and generates review reports. It examines logic, security, performance and code quality, and supports AWS Bedrock and Anthropic API, according to the repository. A GitHub Action posts review comments on pull requests.