VisualDL

Why we included this project

VisualDL is a lightweight visualization companion for training deep learning models. It writes metrics, model structure, tensor distributions, PR and ROC curves, and high-dimensional embeddings into log files, then shows them in a browser panel you can launch with a single command. That gives you real-time visibility into loss and accuracy trends, and makes it easy to compare how hyperparameters affect a run. The API is thin: you add a few lines with LogWriter and the panel does the rest, and it understands multiple model formats, so you are not locked into one framework. For developers and small teams doing iterative training and tuning, this is a practical tool to keep beside your training script rather than a heavyweight monitoring platform.