Features from the rust language in javascript: Provides Traits/Type classes & an advanced library for working with sequences/iterators in js.
TUF metadata models
The [OpenRouter](https://openrouter.ai/) provider for the [Vercel AI SDK](https://sdk.vercel.ai/docs) gives access to over 300 large language models on the OpenRouter chat and completion APIs.
Tree-shakeable static models.dev catalog split by provider for TokenLens.
Contains JavaScript & TypeScript object models for Microsoft Power BI JavaScript SDK. For each model there is a TypeScript interface, and a validation function to ensure and object is valid.
A Javascript library for running ONNX models on browsers
Unified LLM API with automatic model discovery and provider configuration
An open-source machine learning framework.
Mintlify models
The **Cerebras provider** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for [Cerebras](https://cerebras.ai), offering high-speed AI model inference powered by Cerebras Wafer-Scale Engines and CS-3 systems.
Attach cloud and local files in Rails applications
OpenAI integrations for LangChain.js
Core LangChain.js abstractions and schemas
Data Science dictionary for cspell. -- Private until verified
MediaPipe Vision Tasks
The **[Groq provider](https://ai-sdk.dev/providers/ai-sdk-providers/groq)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Groq chat and completion APIs, transcription support, and browser search tool.
Common functionalities for bitbucket-cloud plugins
Shared type definitions, data models, and utility helpers (geometry, tasks, logging, PDF primitives) that underpin every package in the EmbedPDF ecosystem.
Types for Kubernetes API objects
No description provided.
Kubernetes models
Matter data model
Anthropic integrations for LangChain.js
Model architectures (LLaMA, Qwen, BERT) for Ferrum inference
Custom CUDA kernels and decode runner for Ferrum inference
CLI for Ferrum — a Rust-native LLM inference engine
Model orchestration engine for Ferrum LLM inference
Core trait contracts for the Ferrum LLM inference engine
Unified compute kernels (CUDA/Metal/CPU) and model runner for Ferrum inference
KV cache management with PagedAttention for Ferrum inference
Weight-format abstraction (Dense / GPTQ / AWQ / GGUF) for Ferrum models
Backend implementations (Candle, CPU) for Ferrum inference
Sampling strategies for Ferrum LLM inference engine
Request scheduling for Ferrum LLM inference engine
OpenAI-compatible HTTP API server for Ferrum inference