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High-performance In-browser LLM Inference Engine
⛓️ Langflow is a visual framework for building multi-agent and RAG applications. It's open-source, Python-powered, fully customizable, model and vector store agnostic.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.
Enjoy the magic of Diffusion models!
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Master programming by recreating your favorite technologies from scratch.
OpenRecall is a fully open-source, privacy-first alternative to proprietary solutions like Microsoft's Windows Recall. With OpenRecall, you can easily access your digital history, enhancing your me…
a state-of-the-art-level open visual language model | 多模态预训练模型
AI Powered Image search tool offers content-based, text, and visual similarity system-wide search.
Multi-Platform Package Manager for Stable Diffusion
PlainApp is an open-source application that allows you to manage your phone through a web browser. Access files, videos, music, contacts, sms, calls, and more from your desktop using a secure, easy…
Pick and save Files, Medias and Folder for Kotlin Multiplatform / KMP and Compose Multiplatform / CMP
A framework for building custom AI Copilots 🤖 in-app AI chatbots, in-app AI Agents, & AI-powered Textareas.
llama3 implementation one matrix multiplication at a time
🏞 Image and Video Picker library for Android, support Base64 value(s) from Image(s) and support Layout and Jetpack Compose
Samples showcasing the experimental Kotlin Multiplatform Jetpack libraries
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
A library for easily merging multiple LLM experts, and efficiently train the merged LLM.
