{"library":"pytorch-ranger","type":"library","category":null,"description":"Ranger is a synergistic PyTorch optimizer that combines Rectified Adam (RAdam) and LookAhead techniques to improve training stability and convergence in deep learning models. The PyPI package, `pytorch-ranger`, provides an implementation of this optimizer, though its last update was in March 2020. More recent developments and features are primarily found in the original author's GitHub repository or the `Ranger21` project.","language":"python","status":"maintenance","version":"0.1.1","tags":["pytorch","optimizer","deep-learning","radam","lookahead"],"install":[{"cmd":"pip install pytorch-ranger","imports":["from pytorch_ranger import Ranger"]}],"homepage":null,"github":"https://github.com/mpariente/Ranger-Deep-Learning-Optimizer","docs":null,"changelog":null,"pypi":"https://pypi.org/project/pytorch-ranger/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":65.4,"avg_import_s":5.35,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pytorch-ranger/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}