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Manifold

A model-agnostic visual debugging tool for machine learning
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What is Manifold?

Understanding ML model performance and behavior is a non-trivial process, given the intrisic opacity of ML algorithms. Performance summary statistics such as AUC, RMSE, and others are not instructive enough for identifying what went wrong with a model or how to improve it. As a visual analytics tool, Manifold allows ML practitioners to look beyond overall summary metrics to detect which subset of data a model is inaccurately predicting.
Manifold is a tool in the Machine Learning Tools category of a tech stack.
Manifold is an open source tool with 1.7K GitHub stars and 118 GitHub forks. Here’s a link to Manifold's open source repository on GitHub

Who uses Manifold?

Developers

Manifold Integrations

Manifold's Features

  • Performance Comparison View
  • Feature Attribution View
  • Histogram / heatmap
  • Segment groups
  • Ranking
  • Geo Feature View

Manifold Alternatives & Comparisons

What are some alternatives to Manifold?
Postman
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Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
Stack Overflow
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Google Maps
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Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
See all alternatives

Manifold's Followers
4 developers follow Manifold to keep up with related blogs and decisions.