fast

Fast is a command line tool specifically designed for data scientists and machine learning engineers. It provides a simple and efficient way to train and deploy models.

With Fast, users can quickly build and iterate on their models, benefiting from the extensive library of pre-built datasets, pre-processing techniques, and state-of-the-art deep learning models. The tool enables easy experimentation with various hyperparameters and architectures, allowing users to find the best model for their specific tasks.

Fast also incorporates best practices for reproducibility, making it easier to track and share models, training configurations, and results. It simplifies the process of collaborative development, allowing teams to work together seamlessly.

Furthermore, Fast includes tools for efficient data handling, such as data loaders and data augmentation techniques, along with support for distributed training across multiple GPUs or even distributed clusters. This enables users to scale up their training process to handle large datasets and complex models effectively.

Overall, Fast provides a streamlined and user-friendly command line interface for researchers and engineers to accelerate their development and deployment of machine learning models.