Guide To Catalyst - A PyTorch Framework For Accelerated Deep Learning - Analytics India Magazine

Catalyst is a PyTorch framework developed with the intent of advancing research and development in the domain of deep learning. It enables code reusability, reproducibility and rapid experimentation so that users can conveniently create deep learning models and pipelines without writing another training loop. Catalyst framework is part of the PyTorch ecosystem – a collection of numerous tools and libraries for AI development. It is also a part of the Catalyst Ecosystem – an MLOps ecosystem that expedites training, analysis and deployment of deep learning experiments through Catalyst, Alchemy and Reaction frameworks respectively. We have used the well-known MNIST dataset having 10 output classes (for classifying images of handwritten digits from 0 to 9).