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Published directory entries matching your search.
An agentic LLM for autonomous data science that performs data preparation, analysis, modeling, visualization, and report generation without human intervention. It supports open-ended research on structured, semi-structured, and unstructured data sources, and the model, code, training data, and demo are open-sourced.
AI Models Catalog is a structured YAML catalog of AI model providers and their models, sourced from first-party APIs and official documentation. It includes TypeScript type definitions and Zod runtime validation schemas, plus scripts to sync data from providers and validate YAML files against schemas.
Analyzes structured data and helps produce queries, insights or visualizations.
Analyzes structured data and helps produce queries, insights or visualizations.
Analyzes structured data and helps produce queries, insights or visualizations.
Analyzes structured data and helps produce queries, insights or visualizations.
SOMPY is a Python library for self-organizing maps structured similarly to somtoolbox in Matlab. It offers only batch training, PCA or RandomPCA initialization, component plane visualization, hitmap and U-Matrix visualization, and 1-d or 2-d SOM with rectangular, planar grid. It supports function approximation and predictions, mostly using Sklearn.
Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
TensorFlow Fold is a library for creating TensorFlow models that consume structured data, where the computation graph depends on the structure of the input data. It implements dynamic batching, transforming batches of arbitrarily shaped computation graphs into a static computation graph. TensorFlow Fold is not an official Google product.
Little Ball of Fur is a graph sampling extension library for Python and a graph sampling extension library for NetworKit and NetworkX. It consists of methods that can sample from graph structured data, covering vertex, edge, and exploration sampling techniques with a unified application public interface.
Nushell is a shell that treats each input as structured data rather than raw streams of text. Listing a directory returns a table of rows, and values can be piped through a series of commands called a pipeline. The project has reached a minimum-viable-product level of quality. It is available via package managers including brew and winget.
PowerShell is a cross-platform automation and configuration tool and framework for Windows, Linux and macOS. It includes a command-line shell, a scripting language and a framework for processing cmdlets, and is optimized for structured data, REST APIs and object models. The repository covers PowerShell 7.x and higher; changes are not ported back to Windows PowerShell 5.1.
PrivateGPT is an open-source API layer for building private AI applications on local models, following the Claude API model. It provides a messages API, file and artifact ingestion, retrieval with citations and agentic RAG, built-in and custom tools, MCP connectors, structured database and CSV access, and embeddings. It connects to any OpenAI-compatible inference server and does not run models itself.
Retext is an ecosystem of plugins that work with natural language as structured data, specifically concrete syntax trees. It is a tool that transforms natural language with plugins, which can inspect and change the natural language. The repository is a monorepo containing packages for parsing English, Dutch and Latin-script prose and serializing syntax trees.
A PHP package providing a fluent builder for all Schema.org types and their properties. Its classes are generated from Schema.org's JSON-LD standards file, and types can be converted to arrays, rendered to scripts, or encoded as JSON. Installation is via composer.
Vespa is an AI search platform. Its repository contains the code required to build and run Vespa. The project covers searching, making inferences in and organizing vectors, tensors, text and structured data at serving time and any scale. It is licensed under Apache 2.0.
yq is a portable command-line processor for structured data formats including YAML, JSON, XML, CSV, TOML, HCL and properties files, hosted on GitHub. The repository provides a usage guide covering basic and advanced operations for the tool.
