Weights & Biases Description
Experiment tracking, hyperparameter optimization and model and dataset versioning. With just 5 lines of code, you can track, compare, and visualize ML experiment results. You can add a few lines of code to your script and every time you train a new model, a new stream of experiments will be available to your dashboard. Our hyperparameter search tool is scalable and can optimize models. Sweeps can be easily set up and plugged into your existing infrastructure to run models. All details of your machine learning pipeline, including data preparation, data versioning and training, can be saved. It's now easier than ever to share project updates. Describe how your model works, show graphs showing how models have improved, discuss bugs, and show progress towards milestones. This central platform will allow you to track all machine learning models in your organization, from production to experimentation.
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