PlaidML
Framework for accessible deep learning across devices.
Efficient tensor library for machine learning on everyday devices.
ggml is a tensor library aimed at enhancing machine learning applications on common hardware. Designed for developers and researchers, it allows for running advanced models without the need for high-end setups.
This library excels in performance, enabling large-scale AI tasks on routine devices. With support for integer quantization and no third-party dependencies, ggml streamlines the integration process, making it approachable for everyday use.
It fosters a collaborative environment, encouraging contributions from the community. As a result, users can explore innovative machine learning possibilities without confronting complex technical barriers.
Based on overlapping tasks and related categories.
Framework for accessible deep learning across devices.
Lightweight framework for efficient AI model deployment on edge devices.
Serverless platform for building and scaling AI agents effortlessly.
Comprehensive platform for data science and AI development.
Framework for building deep learning models efficiently.
Framework for integrating and managing large language models.
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