This repository has been archived by the owner on Jun 2, 2020. It is now read-only.
First Neural Pipeline release
Key features of this release:
- Flexible and customizable training process
- Checkpoints management and train process resuming (source and target device independent)
- Metrics processing and visualization by builtins (Tensorboard, Matplotlib) or custom monitors
- Training best practices (e.g. learning rate decaying and hard negative mining)
- Metrics logging and comparison (DVC compatible)