{"library":"prodigyopt","type":"library","category":null,"description":"ProdigyOpt is an Adam-like optimizer for neural networks, designed for high performance and memory efficiency. It features adaptive learning rate estimation and implements decoupled weight decay. The current version is 1.1.2, and releases typically focus on minor bug fixes and performance enhancements.","language":"python","status":"active","version":"1.1.2","tags":["optimizer","pytorch","machine-learning","deep-learning","neural-networks"],"install":[{"cmd":"pip install prodigyopt","imports":["from prodigyopt import Prodigy"]}],"homepage":null,"github":"https://github.com/konstmish/prodigy","docs":null,"changelog":null,"pypi":"https://pypi.org/project/prodigyopt/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/prodigyopt/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}