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.
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Keras GPT Copilot is a Python package that integrates an LLM copilot within the Keras model development workflow, generating feedback from model configuration, optimizer details and experiment results. It interacts with OpenAI's GPT models and offers a prompt-only mode for compatibility with other large language models.
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.
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.
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.
Logseq is a privacy-first, open-source platform designed for knowledge management and collaboration. Users can download the application via the project's official GitHub releases page. The project maintains a public roadmap outlining future development plans, and is hosted on GitHub for community contribution.
Lychee is a fast, asynchronous, stream-based link checker written in Rust. It scans content including Markdown, HTML, reStructuredText, websites and other formats to identify broken URLs and invalid email addresses. The project is hosted as a public repository on GitHub, with documentation covering development, installation and supported platforms.
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.
ml5.js is a JavaScript library providing access to machine learning algorithms and models in the browser, building on TensorFlow.js. It aims to make machine learning approachable for artists, creative coders and students, and is supported by code examples, tutorials and sample data sets. The project is described as currently in development.
MLBase (MLBase.jl) is a Julia package hosted in the JuliaStats/MLBase.jl GitHub repository, providing a collection of functions to support the development of machine learning algorithms. It includes accompanying resources and documentation for package users.
MLKit is a simple machine learning framework written in Swift. Currently it features algorithms dealing with regression, with planned expansion to classification, clustering, recommender systems and deep learning. The project is under active development and is not ready for use in commercial or personal projects, and can be installed via CocoaPods as MachineLearningKit.
MLRun is an open source MLOps platform for building and managing continuous machine learning applications across their lifecycle. It integrates with development and CI/CD environments to automate the delivery of production data, ML pipelines, and online applications.
MultiPar is an open-source Parchive tool hosted in a public GitHub repository maintained by developer Yutaka-Sawada. The repository's current public release is version 1.3.3.6, and it accepts community contributions to its development.
Nagram X is a variant of Nagram with additional features. The repository was archived by its owner and is read-only, with no further updates, bug fixes, or support provided. Previously published versions remain available through a Telegram channel and GitHub Releases. The source code remains available for reference or for continuing development in a fork.
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.
Oils is a project that provides an upgrade path from Bash to a better language and runtime. It is also intended for Python and JavaScript users who avoid shell scripting. The repository includes source code, contribution guidelines, and development build instructions.
OneClick-macOS is an open-source toolset hosted on GitHub for setting up a streamlined, KVM-accelerated macOS virtual machine via QEMU. The tools are compatible with both Linux and Windows operating systems, and development is open to GitHub contributors.
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.
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.
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.
The AI coding agent built for the terminal.
OpenHands is an open-source project focused on AI-driven development. Hosted on GitHub as the OpenHands/OpenHands repository, its documentation includes an agent canvas, quickstart guides for sandboxed environments, and installation instructions.
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.