PyTorch-Ignite
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About
PyTorch-Ignite is a high-level library designed to help with training and evaluating neural networks in PyTorch flexibly and transparently. It provides a simple engine and event system to trigger handlers at built-in and custom events. The library includes rich handlers for checkpointing, early stopping, profiling, parameter scheduling, and learning rate finding. It supports distributed training on CPUs, GPUs, and TPUs and offers 50+ distributed-ready metrics. PyTorch-Ignite integrates with experiment managers like Tensorboard, MLFlow, WandB, and Neptune. It is a community-driven open source project under NumFOCUS and part of the PyTorch Ecosystem.
Platform
Task
Features
• distributed training
• simple engine and event system
• rich integration with experiment managers
• 50+ metrics
• rich handlers
Pricing Plans
Free
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