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A JavaScript package to disassemble XML files into smaller, more manageable files and reassemble them when needed.
Core logic and types for working with transformers
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
- transformers
- transformers.js
- huggingface
- hugging face
- machine learning
- deep learning
- artificial intelligence
- AI
- ML
large model translator
- Xenova
- nllb-200-distilled-600M
- translator
- transformers
- transformers.js
- huggingface
- hugging face
- machine learning
- deep learning
- artificial intelligence
- AI
- ML
A flexible and lightweight WeChat Official Accounts SDK for Node.js
Node.js plugin for speech recognition that works with OpenAI's Whisper models using ONNX.
- openai
- whisper
- onnx
- huggingface
- transformers
- transformers.js
- transcribe
- audio recognition
- speech
- speech-to-Text
- wav2text
- stt
- tts
Library of simple and common data tranformers
Easy, fast and WASM/WebGPU accelerated vector embedding for the web platform. Locally via ONNX/Transformers.js and via API. Compatible with Browsers, Workers, Web Extensions, Node.js & co.
A web-first, cross-platform ML framework.
connectors and mappers for external platforms logCiCa can interact with
Primus is a simple abstraction around real-time frameworks. It allows you to easily switch between different frameworks without any code changes.
- abstraction
- browserchannel
- engine.io
- framework
- comet
- streaming
- pubsub
- pub
- sub
- ajax
- xhr
- polling
- http
- faye
- View more
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
- transformers
- transformers.js
- huggingface
- hugging face
- machine learning
- deep learning
- artificial intelligence
- AI
- ML
A JavaScript package to disassemble then transform XML files into smaller JSON files.
A JavaScript package to disassemble then transform XML files into smaller YAML files.
type safe store reducer transformer
Add transformers capabilities to Shiki's highlighter
Easy, fast and WASM/WebGPU accelerated vector embedding for the web platform. Locally via ONNX/Transformers.js and via API. Compatible with Browsers, Workers, Web Extensions, Node.js & co.
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package supports multiple Embedding providers (OpenAI, Ollama and HuggingFace Transformers) to generate embeddings for text documents
- vector
- semantic
- store
- storage
- database
- db
- local
- localstorage
- browser
- embeddings
- text
- search
- similarity
- LLM
- View more
Logic for evaluating and executing transformers
Binds Express and any real time engine through Primus
- abstraction
- browserchannel
- engine.io
- framework
- comet
- streaming
- pubsub
- pub
- sub
- ajax
- xhr
- polling
- http
- faye
- View more