{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/4"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/7"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics/2"}],"enrichment":{"capability":"TensorFlow Addons provides experimental operators, layers, metrics, losses, and optimizers that extend core TensorFlow with functionality not yet ready for the main library.","skillfed_tags":["tensorflow-extension","experimental-ml"],"use_cases":["Experimenting with novel layer architectures or optimization algorithms not yet available in core TensorFlow.","Implementing specialized loss functions or metrics for niche machine learning domains.","Prototyping research ideas before deciding whether to contribute them upstream to TensorFlow.","Using well-tested experimental components in production if they were stable at the time of the last release."],"what_it_does":"TensorFlow Addons is a collection of experimental machine learning components\u2014custom layers, loss functions, metrics, and optimizers\u2014that extend TensorFlow but are not yet part of the core library. These additions target either emerging techniques whose broad applicability is still unclear or specialized functionality used by smaller subsets of the ML community. The package acts as an incubator for ideas that may eventually graduate to core TensorFlow or remain as optional extensions.\n\nThe package depends on packaging and typeguard for runtime support. It is distributed as pre-compiled wheels for Python 3.9, 3.10, and 3.11 on Linux x86_64 and macOS (both Intel and ARM). However, the package has been dormant for nearly three years\u2014the last release was in November 2023\u2014meaning no active maintenance, bug fixes, or compatibility updates are expected. This makes it risky for new projects or those requiring ongoing support.","worth_installing":"Yes-with-conditions. TensorFlow Addons is worth installing if you need specific experimental components that were stable in the 0.23.0 release and your TensorFlow version is compatible. However, the dormant status (no releases in 990 days) means you should verify compatibility with your current TensorFlow and Python versions before committing. Do not use this package for new projects expecting ongoing maintenance or security updates."},"id":"tensorflow-addons","links":{"html":"https://skillfed.io/packages/tensorflow-addons","md":"https://skillfed.io/packages/tensorflow-addons.md","pypi":"https://pypi.org/project/tensorflow-addons/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2023-11-28","license_spdx":null,"license_treatment":"permissive","name":"tensorflow-addons","python_support":"unspecified","summary":"TensorFlow Addons."},"popularity":{"monthly_downloads":1030500,"position":4472,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.23.0"}