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oegedijk avatar

oegedijk/explainerdashboard

0
View on GitHub↗
2,487 stars·345 forks·Python·MIT·12 viewsexplainerdashboard.readthedocs.io↗

Explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Features

  • Model Visualization - Tool for building dashboards to explain black-box model predictions.

Star history

Star history chart for oegedijk/explainerdashboardStar history chart for oegedijk/explainerdashboard

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Explainerdashboard

These projects share indexed features with Explainerdashboard. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • federatedai/fateFederatedAI avatar

    FederatedAI/FATE

    6,048View on GitHub↗

    FATE is an open-source federated learning platform that enables multiple organizations to collaboratively train machine learning models without exposing raw data to any party. It provides a complete framework for private data collaboration, allowing participants to jointly compute on sensitive information while maintaining data privacy and security guarantees through secure multi-party computation protocols. The platform distinguishes itself through its comprehensive infrastructure management capabilities, supporting automated deployment of multi-party clusters using Ansible-driven provisioni

    Pythonalgorithmfatefederated-learning
    View on GitHub↗6,048
  • comet-ml/kangascomet-ml avatar

    comet-ml/kangas

    1,076View on GitHub↗

    🦘 Explore multimedia datasets at scale

    Jupyter Notebook
    View on GitHub↗1,076
  • gradio-app/gradiogradio-app avatar

    gradio-app/gradio

    42,931View on GitHub↗

    Gradio is a Python library that enables the creation of interactive web applications by converting functions into browser-based interfaces. It functions as a declarative framework where developers define input and output components to automatically generate web forms, visualizations, and data-driven dashboards. By abstracting away manual web markup, the library allows for the rapid construction of interfaces for machine learning models, research demonstrations, and analytical workflows within a single environment. The platform distinguishes itself by automatically exposing internal applicatio

    Pythondata-analysisdata-sciencedata-visualization
    View on GitHub↗42,931
  • langwatch/langwatchlangwatch avatar

    langwatch/langwatch

    3,307View on GitHub↗

    The platform for LLM evaluations and AI agent testing

    TypeScriptaianalyticsdatasets
    View on GitHub↗3,307
Compare all 16 related projects→

Frequently asked questions

What does oegedijk/explainerdashboard do?

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

What are the main features of oegedijk/explainerdashboard?

The main features of oegedijk/explainerdashboard are: Model Visualization.

Which projects share features with oegedijk/explainerdashboard?

Projects with overlapping indexed features include: federatedai/fate — FATE is an open-source federated learning platform that enables multiple organizations to collaboratively train… lutzroeder/netron — Netron is a visualizer for neural network and machine learning models. It provides a graphical interface that renders… gradio-app/gradio — Gradio is a Python library that enables the creation of interactive web applications by converting functions into… langwatch/langwatch — The platform for LLM evaluations and AI agent testing. comet-ml/kangas — 🦘 Explore multimedia datasets at scale. lux-org/lux — Lux is an automated exploratory data analysis tool designed to generate intelligent visual representations of pandas…