{"data":{"slug":"tensorflow-model-optimization","name":"model-optimization","tagline":"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.","github_url":"https://github.com/tensorflow/model-optimization","owner":"tensorflow","repo":"model-optimization","owner_avatar_url":"https://avatars.githubusercontent.com/u/15658638?v=4","primary_language":"Python","stars":1573,"forks":348,"topics":["compression","deep-learning","keras","machine-learning","ml","model-compression","optimization","pruning","quantization","quantized-networks","quantized-neural-networks","quantized-training","sparsity","tensorflow"],"archived":false,"github_pushed_at":"2026-07-06T12:32:14+00:00","maintenance_label":"Very active","url":"https://www.graphcanon.com/tools/tensorflow-model-optimization","markdown_url":"https://www.graphcanon.com/tools/tensorflow-model-optimization.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorflow-model-optimization","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorflow-model-optimization","description":"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.","homepage_url":"https://www.tensorflow.org/model_optimization","license":"Apache-2.0","open_issues":249,"watchers":110,"ai_summary":null,"readme_excerpt":"## Installation\nFor installation instructions, see\n[tensorflow.org/model_optimization/guide/install](https://www.tensorflow.org/model_optimization/guide/install).","github_created_at":"2018-10-31T20:34:28+00:00","created_at":"2026-07-11T23:37:44.239891+00:00","updated_at":"2026-07-11T23:37:55.059098+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"compression","name":"compression"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"keras","name":"keras"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"ml","name":"ml"},{"slug":"model-compression","name":"model-compression"},{"slug":"optimization","name":"optimization"},{"slug":"pruning","name":"pruning"}],"trust":{"provenance":{"is_fork":false,"github_id":155619942,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:37:45.764Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":1,"days_since_push":5,"last_release_at":"2026-05-12T18:23:03Z"},"security_summary":{"status":"ok","scanner":"osv@v1","low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:37:46.118Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T23:37:45.513Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-11T23:37:45.513Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-11T23:37:45.513Z"}}}}