tensorflow and intel-extension-for-tensorflow

Intel Extension for TensorFlow is a complementary optimization layer that enhances TensorFlow's performance on Intel hardware through specialized kernels and operations, designed to be used alongside the base TensorFlow framework rather than as a replacement.

tensorflow
87
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Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 25/25
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 17/25
Stars: 194,185
Forks: 75,245
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Commits (30d): 1135
Language: C++
License: Apache-2.0
Stars: 350
Forks: 45
Downloads:
Commits (30d): 0
Language: C++
License:
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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.

machine-learning-engineering deep-learning predictive-modeling ai-development data-science

About intel-extension-for-tensorflow

intel/intel-extension-for-tensorflow

Intel® Extension for TensorFlow*

This is a performance plugin for TensorFlow, designed to make your machine learning models run faster. It takes your existing TensorFlow models and automatically optimizes them to leverage the full power of Intel CPUs and GPUs. Data scientists and AI researchers who develop and deploy TensorFlow-based deep learning models will find this useful.

deep-learning machine-learning-optimization AI-model-deployment data-science high-performance-computing

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