PyTorch Ranger Optimizer

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.