Python library that runs large language model inference layer by layer, so 70B-class models fit on a single 4GB GPU without quantization.
Google's open-source SDK for building natively compiled mobile, web, and desktop apps from a single Dart codebase.
Opinionated framework for building production-ready, standalone Spring applications with minimal configuration.
Python library that uses LLMs and graph-based pipelines to extract structured data from websites and local documents from a natural-language prompt.
Cross-platform C++ framework for building desktop and mobile apps and VST, VST3, AU, AUv3, LV2 and AAX audio plug-ins and hosts.
Inference code, checkpoints, and notebooks for Meta's Segment Anything Model (SAM), which produces object masks from points, boxes, or automatically for whole images.
Open-source SDK for building and running AI agents in Python and TypeScript, with a fully assembled harness and a model-agnostic agent loop.
TypeScript library for building type-safe production applications with typed errors, dependency injection, structured concurrency, and schema validation.