From 7c613c5cb9feeb2fe0a909b14fc0ddc66bcca175 Mon Sep 17 00:00:00 2001 From: "Kelvin S. do Prado" Date: Sat, 3 Sep 2022 12:35:35 -0300 Subject: [PATCH] Add NannyML to Visual Analysis and Debugging --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 5d6749e..d748ca5 100644 --- a/README.md +++ b/README.md @@ -339,6 +339,7 @@ Inspired by [awesome-python](https://github.com/vinta/awesome-python). * [Evidently](https://github.com/evidentlyai/evidently) - Interactive reports to analyze ML models during validation or production monitoring. * [Fiddler](https://www.fiddler.ai/) - Monitor, explain, and analyze your AI in production. * [Manifold](https://github.com/uber/manifold) - A model-agnostic visual debugging tool for machine learning. +* [NannyML](https://github.com/NannyML/nannyml) - Algorithm capable of fully capturing the impact of data drift on performance. * [Netron](https://github.com/lutzroeder/netron) - Visualizer for neural network, deep learning, and machine learning models. * [Superwise](https://www.superwise.ai) - Fully automated, enterprise-grade model observability in a self-service SaaS platform. * [Whylogs](https://github.com/whylabs/whylogs) - The open source standard for data logging. Enables ML monitoring and observability.