weights and biases

We have hosted the application weights and biases in order to run this application in our online workstations with Wine or directly.

Quick description about weights and biases:

Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. Reproduce any model, with saved code, hyperparameters, launch commands, input data, and resulting model weights. Set wandb.config once at the beginning of your script to save your hyperparameters, input settings (like dataset name or model type), and any other independent variables for your experiments. This is useful for analyzing your experiments and reproducing your work in the future. Setting configs also allows you to visualize the relationships between features of your model architecture or data pipeline and model performance.

Features:

• Store hyper-parameters used in a training run
• Search, compare, and visualize training runs
• Analyze system usage metrics alongside runs
• Collaborate with team members
• Replicate historic results
• Keep records of experiments available forever

Programming Language: Python.
Categories: