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jphall663 avatar

jphall663/awesome-machine-learning-interpretability

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4,044 stars·630 forks·CC0-1.0·13 views

Awesome Machine Learning Interpretability

A curated list of awesome responsible machine learning resources.

Features

  • Awesome List - A community-curated directory that catalogs and links out to other open-source projects, rather than a standalone tool you run yourself.
  • Applied Machine Learning - Frameworks and code for interpreting machine learning models.
  • Curated Research Lists - Tools and techniques for model transparency.
  • Awesome Lists - ML interpretability.
  • Related Research Collections - Curated list of resources for machine learning interpretability.

Star history

Star history chart for jphall663/awesome-machine-learning-interpretabilityStar history chart for jphall663/awesome-machine-learning-interpretability

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 Awesome Machine Learning Interpretability

These projects share indexed features with Awesome Machine Learning Interpretability. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • awesomedata/awesome-public-datasetsawesomedata avatar

    awesomedata/awesome-public-datasets

    75,979View on GitHub↗

    This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that

    aaron-swartzawesome-public-datasetsdatasets
    View on GitHub↗75,979
  • dk-liang/awesome-visual-transformerdk-liang avatar

    dk-liang/Awesome-Visual-Transformer

    3,586View on GitHub↗

    Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

    detrtransformertransformer-awesome
    View on GitHub↗3,586
  • christoschristofidis/awesome-deep-learningChristosChristofidis avatar

    ChristosChristofidis/awesome-deep-learning

    27,569View on GitHub↗

    This project is a curated directory of resources, libraries, and frameworks designed to support the development, training, and deployment of neural network models. It serves as a comprehensive guide for navigating the machine learning ecosystem, providing structured access to software utilities and research materials. The directory distinguishes itself by aggregating tools across the entire machine learning lifecycle, ranging from data management and experiment tracking to production-ready model deployment. It functions as a central hub for discovering both foundational academic research and

    awesomeawesome-listdeep-learning
    View on GitHub↗27,569
  • ethicalml/awesome-production-machine-learningEthicalML avatar

    EthicalML/awesome-production-machine-learning

    20,638View on GitHub↗

    A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

    awesomeawesome-listdata-mining
    View on GitHub↗20,638
Compare all 30 related projects→

Frequently asked questions

What does jphall663/awesome-machine-learning-interpretability do?

A curated list of awesome responsible machine learning resources.

What are the main features of jphall663/awesome-machine-learning-interpretability?

The main features of jphall663/awesome-machine-learning-interpretability are: Awesome List, Applied Machine Learning, Curated Research Lists, Awesome Lists, Related Research Collections.

Which projects share features with jphall663/awesome-machine-learning-interpretability?

Projects with overlapping indexed features include: awesomedata/awesome-public-datasets — This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a… josephmisiti/awesome-machine-learning — This project is a comprehensive, community-driven directory of machine learning resources, software libraries, and… dk-liang/awesome-visual-transformer — Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV). christoschristofidis/awesome-deep-learning — This project is a curated directory of resources, libraries, and frameworks designed to support the development,… ethicalml/awesome-production-machine-learning — A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning. kjw0612/awesome-deep-vision — A curated list of deep learning resources for computer vision.