{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"Ranger is a PyTorch optimizer that combines RAdam (Rectified Adam) and LookAhead techniques to improve training stability and convergence in deep learning models.","skillfed_tags":["optimizer","abandoned"],"use_cases":["Training convolutional neural networks where you want better convergence than standard Adam, especially with Mish activation functions.","Fine-tuning large models where weight averaging via LookAhead helps stabilize learning and reduce overfitting.","Experimenting with alternative optimization strategies for image classification tasks on platforms like FastAI.","Comparing optimizer performance in research or benchmarking studies of deep learning training dynamics."],"what_it_does":"Ranger is a PyTorch optimizer that merges two optimization techniques\u2014RAdam for rectified adaptive momentum and LookAhead for weight averaging\u2014into a single implementation. It was designed to improve training stability and generalization in deep learning models. The package provides three optimizer variants: Ranger (the main version), RangerVA (using calibrated anisotropic adaptive learning rates), and RangerQH, each with different parameter configurations.\n\nYou use it like any PyTorch optimizer: instantiate it with your model's parameters and pass it to your training loop. The package depends only on torch and installs as a lightweight pure-Python wheel. However, the project is no longer maintained\u2014the last commit was 2021-12-01\u2014so it receives no updates, bug fixes, or compatibility patches for newer PyTorch releases.","worth_installing":"No\u2014install only if you are reproducing historical research or maintaining legacy code. The package is abandoned (last commit 2021-12-01) and receives no maintenance, bug fixes, or compatibility updates for modern PyTorch versions. For new projects, use actively maintained optimizers like torch.optim.AdamW or community-supported alternatives. The permissive Apache license poses no legal barrier, but the lack of maintenance makes it a liability."},"id":"pytorch-ranger","links":{"html":"https://skillfed.io/packages/pytorch-ranger","md":"https://skillfed.io/packages/pytorch-ranger.md","pypi":"https://pypi.org/project/pytorch-ranger/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2020-03-30","license_spdx":null,"license_treatment":"permissive","name":"pytorch-ranger","python_support":"supports_current","summary":"Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase"},"popularity":{"monthly_downloads":160045,"position":10677,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.1"}