Python interpretable-deep-learning

Open-source Python projects categorized as interpretable-deep-learning

Top 3 Python interpretable-deep-learning Projects

  • pytorch-grad-cam

    Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  • Project mention: Exploring GradCam and More with FiftyOne | dev.to | 2024-02-13

    For the two examples we will be looking at, we will be using pytorch_grad_cam, an incredible open source package that makes working with GradCam very easy. There are excellent other tutorials to check out on the repo as well.

  • DIML

    [ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • XAI

    Genetic programming method for explaining complex black-box models

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python interpretable-deep-learning related posts

  • Ask HN: Any tools for understanding what a Neural network is learning

    1 project | news.ycombinator.com | 13 Aug 2021

Index

What are some of the best open-source interpretable-deep-learning projects in Python? This list will help you:

Project Stars
1 pytorch-grad-cam 9,456
2 DIML 83
3 XAI 18

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