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Published directory entries matching your search.
SimpleCV is an open source framework for building computer vision applications, providing access to libraries such as OpenCV without requiring knowledge of bit depths, file formats, color spaces or buffer management. The platform uses Python, and examples include connecting to a camera, binarizing images and drawing text.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source Python library designed to make it extremely easy to build and run agents using just a few lines of code.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Soopervisor is an open source tool that exports Ploomber data pipelines to multiple production platforms, including Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow. It is hosted as a public repository on GitHub under the ploomber organization.
spaCy is a free open-source library for Natural Language Processing in Python. It features named entity recognition, part-of-speech tagging, dependency parsing and word vectors, supports over 75 languages and provides 84 trained pipelines for 25 languages.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An open source tool for running arbitrary queries against public data from the Stack Exchange network.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source DevOps agent to help you secure, deploy, and maintain production-ready infrastructure.
Stan is software for Bayesian data analysis that combines statistical modeling capabilities with user-friendly interfaces and open-source development. Its probabilistic programming language supports applications from simple linear regression to multi-level models and time-series analysis. Interfaces exist for Python, Julia, R, and the Unix shell, usable on laptops, clusters, or in the cloud. Official documentation covers the language, inference algorithms, and built-in functions.
DSPy is a framework developed by Stanford NLP for programming language models rather than using traditional prompting workflows. The open-source project is hosted on GitHub, with official documentation available at dspy.ai.
Statewave is an open-source memory runtime for AI agents. It uses reproducible, provenance-tagged context bundles in place of query-time retrieval, is licensed under Apache-2.0, self-hosted on Postgres with pgvector, and offers Python and TypeScript SDKs. The project is hosted on GitHub under the smaramwbc organization.
Statsmodels is a Python module providing classes and functions for estimating statistical models, conducting statistical tests, and statistical data exploration. It supports model specification using R-style formulas and pandas DataFrames, and is released under the open source Modified BSD (3-clause) license.
stdlib is an open-source fundamental numerical library built for JavaScript and TypeScript. The project is hosted as a public GitHub repository, with resources for installation, feature overviews, and documentation available through the repository.
Steel Browser is an open source browser API built for AI agents and applications. It functions as a batteries-included browser sandbox that enables web automation without requiring users to manage underlying infrastructure. The project is hosted on GitHub under the steel-dev organization.
Apache Storm is a free and open source distributed realtime computation system. It processes unbounded streams of data and is simple, can be used with any programming language, and integrates with queueing and database technologies. Listed use cases include realtime analytics, online machine learning, continuous computation, distributed RPC and ETL.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
SuperAGI is a dev-first open source autonomous AI agent framework. It enables developers to build, manage, and run useful autonomous agents quickly and reliably. The project is hosted on GitHub under the TransformerOptimus organization.
Apache Superset is an open-source data exploration and visualization platform. It offers a no-code visualization builder and a SQL IDE, connects to SQL-based databases, and ships with more than 40 pre-installed visualization types. It includes dashboards, a chart builder, SQL Lab and datasets, with a plug-in architecture for custom visualizations.
