ggml-org/ggml
Tensor library for machine learning
This is a low-level tensor library for machine learning, enabling developers to implement and run machine learning models efficiently across various hardware. It takes model architectures and data, processing them into optimized computations for model inference and training. It's designed for machine learning engineers and developers who need fine-grained control over model deployment and performance.
14,217 stars. Actively maintained with 212 commits in the last 30 days.
Use this if you are a developer looking to build and deploy machine learning models with minimal dependencies and optimized performance on diverse hardware.
Not ideal if you are an end-user looking for a high-level, ready-to-use machine learning application or a data scientist who prefers common, high-level ML frameworks like TensorFlow or PyTorch.
Stars
14,217
Forks
1,511
Language
C++
License
MIT
Category
Last pushed
Feb 27, 2026
Commits (30d)
212
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