{"library":"tensorflow-model-optimization","type":"library","category":null,"description":"A suite of tools for optimizing machine learning models for deployment, including quantization-aware training, pruning, and weight clustering. Current version 0.8.0, tested against TensorFlow 2.14.1. Released approximately every 4–6 months.","language":"python","status":"active","version":"0.8.0","tags":["tensorflow","model-optimization","quantization","pruning","clustering","deployment"],"last_verified":"Mon Apr 27","install":[{"cmd":"pip install tensorflow-model-optimization","imports":["import tensorflow_model_optimization as tfmot","from tensorflow_model_optimization.sparsity.keras import prune_low_magnitude","import tensorflow_model_optimization as tfmot"]}],"homepage":null,"github":"https://github.com/tensorflow/model-optimization","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tensorflow-model-optimization/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}