Open Source Ai
Showing 16 of 16 projects
A platform to run, manage, and serve open-source large language models (LLMs) locally or on your own infrastructure.
A platform to run, manage, and serve open-source large language models locally with a simple CLI and REST API.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications in Python.
An open-source framework for financial large language models, enabling cost-effective fine-tuning for tasks like sentiment analysis and forecasting.
An open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows with tracing and automated evaluations.
A curated list of awesome TensorFlow experiments, libraries, projects, tutorials, and resources.
A machine-learning conversational dialog engine for creating chatbots in Python with language-independent training.
A curated list of open-source large language models licensed for commercial use, including models for general text and code generation.
A curated list of modern Generative AI projects, services, models, and resources across text, image, video, audio, and coding.
A collection of libraries to optimize AI model performance through inference acceleration, infrastructure efficiency, and fine-tuning optimization.
A hackable open-source voice assistant platform for building and running custom voice-controlled applications.
An open-source pipeline for training medical domain GPT models using PT, SFT, RLHF, DPO, ORPO, and GRPO methods.
An open-source framework for building multimodal AI systems that enable large language models to understand and chat about videos and images.
A curated list of resources, tools, and applications for OpenAI's Whisper speech recognition model.
A high-performance, scalable LLM library and reference implementation written in pure Python/JAX for training on TPUs and GPUs.
An open-source AI troubleshooting atlas and avatar runtime for diagnosing and fixing RAG, agent, and real-world AI workflow failures.
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