Weights & Biases

Weights & Biases is the machine learning platform for developers to build better models faster. Use W&B's lightweight, interoperable tools to quickly track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results and spot regressions, and share findings with colleagues.

Set up W&B in 5 minutes, then quickly iterate on your machine learning pipeline with the confidence that your datasets and models are tracked and versioned in a reliable system of record.

Guides

1. ​Experiment Tracking: Visualize experiments in real time

2. ​Integrations: PyTorch, Keras, Hugging Face, and more

3. ​Hyperparameter Tuning: Optimize models quickly

4. ​Data + Model Versioning: Version datasets and models

5. ​Data Visualization: Visualize predictions across model versions

6. ​Collaborative Reports: Describe and share findings

7. ​Self-Hosting: Private cloud and local hosting of the W&B app

Reference

1. ​App User Interface ​

2. ​Python Library​

3. ​Command Line Interface​