Introducing Lightning Flash -- From Deep Learning Baseline To Research in a Flash

Flash is a collection of tasks for fast prototyping, baselining and fine-tuning scalable Deep Learning models, built on PyTorch Lightning. Whether you are new to deep learning, or an experienced researcher, Flash offers a seamless experience from baseline experiments to state-of-the-art research. It allows you to build models without being overwhelmed by all the details, and then seamlessly override and experiment with Lightning for full flexibility. Continue reading to learn how to use Flash tasks to get state-of-the-art results in a flash. Over the past year, PyTorch Lightning has received an enthusiastic response from the community for decoupling research from boilerplate code, enabling seamless distributed training, logging, and reproducibility of deep learning research code.