{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"Provides a collection of alternative optimization algorithms for PyTorch that are compatible with the standard optim module interface.","skillfed_tags":["pytorch-training","optimization-algorithms"],"use_cases":["Experimenting with alternative optimizers like RAdam or Lamb to improve convergence on your specific model and dataset","Replacing standard Adam with AdaBound to get faster convergence with automatic learning rate scheduling","Using DiffGrad or NovoGrad when you want gradient-based adaptive methods beyond PyTorch's built-in optimizers","Prototyping with Ranger for potentially better generalization in deep learning","Comparing multiple optimizers systematically by swapping them in and out with the same interface"],"what_it_does":"torch-optimizer is a collection of alternative optimization algorithms for PyTorch training, including AdaBound, RAdam, Lamb, DiffGrad, NovoGrad, MADGRAD, and many others. Each optimizer implements a different adaptive or momentum-based gradient descent variant, all exposing the same interface as PyTorch's standard optim module so they can be used as drop-in replacements.\n\nYou import the package and instantiate an optimizer by name, passing your model parameters and a learning rate, then call step() during training just as you would with standard optimizers. The package bundles research implementations of algorithms from academic papers, letting you experiment with different optimization strategies without implementing them yourself.","worth_installing":"Yes, if you want to experiment with alternative optimizers and your PyTorch version is not significantly newer than late 2021. The package is dormant but functional, has no known vulnerabilities, and installs cleanly. Be aware that it may not be actively maintained for the latest PyTorch releases, so test compatibility with your environment first."},"id":"torch-optimizer","links":{"html":"https://skillfed.io/packages/torch-optimizer","md":"https://skillfed.io/packages/torch-optimizer.md","pypi":"https://pypi.org/project/torch-optimizer/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2021-10-31","license_spdx":null,"license_treatment":"permissive","name":"torch-optimizer","python_support":"supports_current","summary":"pytorch-optimizer"},"popularity":{"monthly_downloads":166479,"position":10494,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.3.0"}