Core ML
Core ML is Apple's framework for running trained machine learning models on-device across iOS, iPadOS, macOS, watchOS, tvOS, and visionOS.
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Core ML is Apple's framework for running trained machine learning models on-device across iOS, iPadOS, macOS, watchOS, tvOS, and visionOS.
NVIDIA cuDNN (CUDA Deep Neural Network library) is a proprietary GPU-accelerated library of primitives for deep learning, first released by NVIDIA on September 7, 2014, that provides highly tuned…
MLX is an open-source array and machine-learning framework built by Apple Inc.'s machine-learning research team specifically for Apple silicon, the M1, M2, M3, M4, and M5 series of system-on-chip processors.
ROCm is AMD's open software stack for GPU computing and the main alternative to NVIDIA's CUDA platform.
TensorFlow Lite, rebranded as LiteRT (short for Lite Runtime) on September 4, 2024, is Google's open-source, on-device inference runtime that runs trained machine-learning models locally on mobile, embedded…