EasyTorch
is a NOOB library designed to simplify the typical workflows in deep learning. It provides streamlined functionalities for dataset generation, batching, training, visualization, and model persistence.
Somebody may ask: "Why this repo contains so much redundant docstring?" That's because English is not my native language, and I'm practising FXXKING language.
- Rapid Prototyping:
EasyTorch
allows for quick setup and prototyping of datasets suitable for various deep learning models. - Preprocessing Tools: Includes built-in preprocessing functionalities to transform raw data into model-ready formats.
- Automatic Batching: Automatically divides datasets into batches, optimizing memory usage and improving model training efficiency.
- Customizable Batch Sizes: Users can specify batch sizes according to their system's capabilities and model requirements.