tensorflow and tensorflow-on-arm
The second is a specialized fork that compiles the first for ARM processors, making them complements rather than competitors—you'd use tensorflow-on-arm specifically to deploy TensorFlow on resource-constrained or embedded ARM devices.
About tensorflow
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
TensorFlow helps machine learning engineers and researchers build and deploy AI models. You can feed it various types of data (like images, text, or numerical datasets) to train custom machine learning models. The output is a trained model capable of making predictions or classifications, which can then be integrated into applications or research pipelines. This platform is primarily used by developers and data scientists working with machine learning.
About tensorflow-on-arm
lhelontra/tensorflow-on-arm
TensorFlow for Arm
This tool helps developers compile TensorFlow, a machine learning framework, specifically for devices using ARM processors, such as Raspberry Pi. You provide the source code and configuration for TensorFlow, and it outputs a ready-to-install package for your ARM device. This is ideal for embedded systems developers or robotics engineers looking to run AI models on resource-constrained hardware.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work