Show HN: Python library to scan ML models for vulnerabilities

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • giskard

    🐢 Open-Source Evaluation & Testing framework for LLMs and ML models

  • Hi! I’ve been working on this automatic scanner for ML models to detect issues like underperforming data slices, overconfidence in predictions, robustness problems, and others. It supports all main Python ML frameworks (sklearn, torch, xgboost, …) and integrates with the quality assurance solution we are building at Giskard AI (https://giskard.ai) to systematically test models before putting them in production.

    It is still a beta and I would love to hear your feedback if you have the time to try it out.

    We have quite a few tutorials in the docs with ready-made colab notebooks to make it easy to get started.

    If you are interested in the code:

    https://github.com/Giskard-AI/giskard/tree/main/python-clien...

  • awesome-ai-safety

    📚 A curated list of papers & technical articles on AI Quality & Safety

  • Hi! I’ve been working on this automatic scanner for ML models to detect issues like underperforming data slices, overconfidence in predictions, robustness problems, and others. It supports all main Python ML frameworks (sklearn, torch, xgboost, …) and integrates with the quality assurance solution we are building at Giskard AI (https://giskard.ai) to systematically test models before putting them in production.

    It is still a beta and I would love to hear your feedback if you have the time to try it out.

    We have quite a few tutorials in the docs with ready-made colab notebooks to make it easy to get started.

    If you are interested in the code:

    https://github.com/Giskard-AI/giskard/tree/main/python-clien...

  • 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.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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