+ 1

What is Weights & Biases?

It 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.
Weights & Biases is a tool in the Machine Learning as a Service category of a tech stack.

Who uses Weights & Biases?


4 developers on StackShare have stated that they use Weights & Biases.

Weights & Biases Integrations

TensorFlow, PyTorch, scikit-learn, Keras, and XGBoost are some of the popular tools that integrate with Weights & Biases. Here's a list of all 5 tools that integrate with Weights & Biases.

Weights & Biases's Features

  • Track, compare, and visualize ML experiments with 5 lines of code. Free for academic and open source projects
  • Visualize seamlessly
  • Collaborate in real time

Weights & Biases Alternatives & Comparisons

What are some alternatives to Weights & Biases?
Amazon SageMaker
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
Azure Machine Learning
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Amazon Machine Learning
This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables
Google AI Platform
Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.
See all alternatives
Related Comparisons
No related comparisons found

Weights & Biases's Followers
3 developers follow Weights & Biases to keep up with related blogs and decisions.