… PyTorch Lightning (Falcon and The PyTorch Lightning team… 2019) as its backbone,
NewsRecLib is designed in a modular … 2019), in which each experiment is defined through a …

… , and ease of experimentation, PyTorch Lightning has become a … In essence, this paper
presents PyTorch Lightning as a tool … The paper concludes that PyTorch Lightning has addressed …

… robust foundations of PyTorch and Lightning. It allows … Lightning team, 2019) as backhand
to solve differential equations using artificial intelligence model. Employing PyTorchLightning …

… Our goal with building PyTorch over the past five years has … on top of PyTorch. The authors
of this book were among them. … Hugging Face, PyTorch Lightning, and PyTorch Geometric. …

… In this section, we study the performance gap between PyTorch and PyTorch Lightning,
which is substantial. In addition, we address how to select the concurrency parameters to …

… library built upon the robust foundations of PyTorch and Lightning. It empowers end-users to
… Lightning team, 2019) as backhand. Employing PyTorchLightning as backhand is done to …

… a pytorch-based library to NILM research that exploits the benefits of this framework. After
the introduction of Pytorch Lightning [12] in the Pytorch … user friendly, in 2019 some well-known …

… Implemented in Python, using Pytorch and Pytorch lightning, the library fits both research
and industry needs by featuring distributed training pipelines with mixed-precision, faster data …

… Behind the scenes, these steps are implemented via either PyTorch or TensorFlow, …
appearance and other physical properties (Masters, 2019). The sheer number of images requires …

… , techniques, some of their applications to real-world problems, and we'll also introduce one
of the major open source packages available in Python for machine learning, PyTorch. This …