DL project tracking with Weights & Biases
W&B is an experiment management platform that provides versioning for models and data.
W&B provides an interactive dashboard that can be embedded in Jupyter notebooks or used as a standalone web page. The simple Python API opens up the possibility for simple integration as well. Furthermore, its features focus on simplifying DL experiment management: logging and monitoring model and data versions, hyperparameter values, evaluation metrics, artifacts, and other related information.
Another interesting feature of W&B is its built-in hyperparameter search feature called Sweeps (https://docs.wandb.ai/guides/sweeps). Sweeps can easily be set up using the Python API, and the results and models can be compared interactively on the W&B web page.
Finally, W&B automatically creates reports for you that summarize and organize a set of experiments intuitively (https://docs.wandb.ai/guides/reports).
Overall, the key...
