Intro to Monads for Software Engineers

transformers.js by @huggingface

Run 🤗 Transformers directly in your browser, with no need for a server!

Transformers.js is designed to be functionally equivalent to Hugging Face's transformers python library, meaning you can run the same pretrained models using a very similar API. These models support common tasks in different modalities, such as:

• 📝 Natural Language Processing: text classification, named entity recognition, question answering, language modeling, summarization, translation, multiple choice, and text generation.

• 🖼️ Computer Vision: image classification, object detection, segmentation, and depth estimation.

• 🗣️ Audio: automatic speech recognition, audio classification, and text-to-speech.

• 🐙 Multimodal: embeddings, zero-shot audio classification, zero-shot image classification, and zero-shot object detection.

• Learn more on Youtube Video

💻: JavaScript
⭐ 12.2k 👀 80 🍴 771 🚧 319

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llm by @simonw

A CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine.

💻: Python
⭐ 4.8k 👀 43 🍴 268 🚧 260

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anything-llm by @mintplexlabs

A full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.

💻: JavaScript
⭐ 27.6k 👀 214 🍴 2.8k 🚧 222

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LightRAG by HKUDS

LightRAG: Simple and Fast Retrieval-Augmented Generation

💻: Python
⭐ 9.5k 👀 127 🍴 1.2k 🚧 70

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