{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/13"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/7"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/16"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/3"}],"enrichment":{"capability":"Intel-optimized TensorFlow for Windows that accelerates numerical computation and machine learning workloads using oneDNN primitives for Intel architecture.","skillfed_tags":["intel-optimized","windows-only","deep-learning"],"use_cases":["Train and deploy deep learning models on Windows systems with Intel processors for improved inference speed.","Run numerical computations and scientific simulations that benefit from oneDNN-accelerated linear algebra operations.","Build production ML pipelines on Windows where Intel CPU optimization is preferred over GPU acceleration.","Prototype and experiment with TensorFlow models on Windows development machines with Intel hardware.","Deploy edge AI applications on Windows devices using TensorFlow with Intel-specific performance tuning."],"what_it_does":"TensorFlow-Intel is an Intel-optimized distribution of TensorFlow compiled for Windows with oneDNN (oneAPI Deep Neural Network Library) primitives integrated to accelerate computation on Intel processors. It maintains the full TensorFlow API for building and training machine learning models while targeting Intel architecture for better performance on compatible hardware.\n\nThe package brings together 22 runtime dependencies including keras, numpy, tensorboard, and protobuf to provide a complete machine learning framework. Installation is platform-specific (Windows wheels only) and requires Python 3.9 or later. To use the Intel optimizations, you must explicitly enable oneDNN by setting an environment variable before running your workload.","worth_installing":"Yes, if you are developing or deploying machine learning workloads on Windows with Intel processors and want built-in oneDNN optimization without extra configuration. The active maintenance, Apache 2.0 license, and zero known vulnerabilities make it a safe choice. Install only if you are on Windows; the medium dependency footprint is standard for TensorFlow and the oneDNN environment variable must be set explicitly to activate optimization."},"id":"tensorflow-intel","links":{"html":"https://skillfed.io/packages/tensorflow-intel","md":"https://skillfed.io/packages/tensorflow-intel.md","pypi":"https://pypi.org/project/tensorflow-intel/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2024-10-25","license_spdx":null,"license_treatment":"permissive","name":"tensorflow-intel","python_support":"supports_current","summary":"TensorFlow is an open source machine learning framework for everyone."},"popularity":{"monthly_downloads":198202,"position":9737,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.18.0"}