pytorch ignite

We have hosted the application pytorch ignite in order to run this application in our online workstations with Wine or directly.

Quick description about pytorch ignite:

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Less code than pure PyTorch while ensuring maximum control and simplicity. Library approach and no program's control inversion. Use ignite where and when you need. Extensible API for metrics, experiment managers, and other components. The cool thing with handlers is that they offer unparalleled flexibility (compared to, for example, callbacks). Handlers can be any function: e.g. lambda, simple function, class method, etc. Thus, we do not require to inherit from an interface and override its abstract methods which could unnecessarily bulk up your code and its complexity. Extremely simple engine and event system. Out-of-the-box metrics to easily evaluate models. Built-in handlers to compose training pipeline, save artifacts and log parameters and metrics.

Features:

• Trigger any handlers at any built-in and custom events
• Checkpointing, early stopping, profiling
• Parameter scheduling, learning rate finder, and more
• Speed up the training on CPUs, GPUs, and TPUs
• Distributed ready out-of-the-box metrics to easily evaluate models
• Tensorboard, MLFlow, WandB, Neptune, and more

Programming Language: Python.
Categories: