This is the Linux app named Weights and Biases whose latest release can be downloaded as v0.15.12.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Weights and Biases
DESCRIPTION
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
This is an application that can also be fetched from https://sourceforge.net/projects/weights-and-biases.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
