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Published directory entries matching your search.
GPTeam is an open-source multi-agent simulation project hosted in the 101dotxyz GitHub repository. It focuses on collaborative AI agents. The repository includes documentation for getting started, understanding the simulation's operation, and viewing agent activity.
Gaussian Mixture Model is an unsupervised machine learning implementation using a multivariate Gaussian mixture model. It supports both offline data and real-time data streams. The repository provides installation instructions, a simple example, and a license. It is hosted on GitHub at https://github.com/lukapopijac/gaussian-mixture-model.
AgentField is an open source tool designed to build, run, and scale AI agents structured similarly to APIs and microservices. It supports building production agents using prompts, and its code is hosted in a public GitHub repository.
A GitHub collection of graph classification papers with reference implementations, covering embedding, deep learning, graph kernel and factorization methods. It also links to graph classification benchmark datasets and similar curated collections.
ByteHub is an open-source tool designed to simplify the creation and management of feature stores. It is maintained as a public repository on GitHub under the bytehub-ai organization, with documentation and tutorials available for users.
CorpusLoaders is a Julia package that provides a variety of loaders for different natural language processing (NLP) corpora, maintained by JuliaText and hosted on GitHub. It simplifies accessing and loading diverse NLP datasets for research and development use cases.
DVClive is an open-source tool that logs and tracks machine learning metrics, parameters, and models using Git and/or DVC. It is hosted on GitHub as the repository treeverse/dvclive. It provides a simple interface for experiment tracking.
face_recognition is a GitHub repository maintained by ageitgey that provides what is described as the world's simplest facial recognition API for Python and the command line. The repository includes documentation, installation requirements, and online demos for the tool.
Datawrapper An open source data visualization platform helping everyone to create simple, correct and embeddable charts. Also at.
Gitingest turns a Git repository into a simple text digest of its codebase. It is intended for feeding a codebase into a large language model, and works by replacing 'hub' with 'ingest' in any GitHub URL.
Maige is open-source infrastructure for running natural language workflows on a codebase. After connecting a repository, users write rules describing what should happen when issues and pull requests are opened, and the tool can label, assign, comment, review code, and run simple code snippets. It works with the GitHub API. A standard plan is offered after free use, with usage-based payment.
Mesh TensorFlow is a tool designed to simplify model parallelism for distributed computation, hosted as a GitHub repository under the TensorFlow organization. The repository includes an introduction, guidance on use cases, and a getting started guide.
MubertAI/Mubert-Text-to-Music is a GitHub repository maintained by MubertAI. It hosts a simple notebook that demonstrates prompt-based music generation via the Mubert API, providing a reference implementation for users looking to generate music from text prompts using the service.
Promptfoo is a tool for testing AI prompts, agents and RAG systems. It supports red teaming, penetration testing and vulnerability scanning for AI, enables performance comparison across models including GPT, Claude, Gemini and DeepSeek, uses simple declarative configuration, and integrates with command line and CI/CD workflows.
Scikit-Opt is an open-source Python library that implements a range of optimization algorithms. Its features include genetic algorithms, particle swarm optimization, simulated annealing, ant colony optimization, immune algorithm, artificial fish swarm algorithm, differential evolution, and tools for the traveling salesman problem. The project is hosted on GitHub and accepts community contributions.
StatsKit.jl is a convenience meta-package for the Julia programming language. Developed by the JuliaStats organization, it aggregates essential packages for statistical computing into a single installation. The project is hosted on GitHub and aims to simplify the setup of a comprehensive statistics environment in Julia.
