meta-llama / llama-stack
Model components of the Llama Stack APIs
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Model components of the Llama Stack APIs
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.
Train transformer language models with reinforcement learning.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automate these high-value generic R&D processes through our open source R&D automation tool RD-Agent, which let AI drive data-driven AI.
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
An open-source RAG-based tool for chatting with your documents.
Free and open-source map hosting solution with custom styles for websites and apps, using OpenStreetMap data
Agentic components of the Llama Stack APIs
🎨 Diagram as Code for prototyping cloud system architectures
InstructLab Command-Line Interface. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.
PyTorch native quantization and sparsity for training and inference
Local support for Tuya devices in Home Assistant
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.