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Weights & Biases AI

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Weights & Biases (W&B) is a platform trusted by leading machine learning teams to streamline the machine learning workflow, enabling quick integration, automatic tracking, and versioning of models and experiments.

FEATURES

  • ✨ Streamlined Workflow: The Weights & Biases platform helps streamline the machine learning workflow from end to end.
  • 🔄 Automatic Tracking & Versioning: Integrate quickly and track & version automatically, enabling effective model training and evaluation.
  • 📊 Enhanced Visualization: Log metrics to visualize performance over time, allowing for a comprehensive understanding of model behavior.
  • 🛠️ Easy Integration: Easily integrate Weights & Biases tools with different MLOps frameworks, enhancing flexibility and usability.

USE CASES

  • 💻 Streamline ML Workflow: The Weights & Biases platform helps streamline the ML workflow from end to end.
  • 📊 Track & Version Automatically: It allows you to track and version your work automatically.
  • 🧪 Increase Experimentation: Users can drive 50 to 100 times more ML experiments compared to their previous workflow.
  • 📈 Visualize Performance: It enables you to log metrics and visualize the performance of your models over time.
  • 🌐 Integration: The platform allows for quick integration into existing workflows.

ADDITIONAL INFO

Release
2018
Location
USA
Employees
51 - 200
Annual Rev
15M - 25M
Tech Used
Node.js, Autopilot, Google Optimize, Express

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FAQ

When using sweeps with the SLURM scheduling system, run wandb agent --count 1 SWEEP_ID in each of your scheduled jobs. This will run a single training job and then exit, making it easier to predict runtimes when requesting resources.
To log audio data with W&B, you can use the wandb.Html class to create an HTML widget containing the audio data and then log it using run.log() .

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