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feat: add KubeStellar Console to Evaluation and Monitoring #760

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Expand Up @@ -387,6 +387,7 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
* [TrustLLM](https://github.com/HowieHwong/TrustLLM) ![](https://img.shields.io/github/stars/HowieHwong/TrustLLM.svg?cacheSeconds=86400) - TrustLLM is a comprehensive framework to evaluate the trustworthiness of large language models, which includes principles, surveys, and benchmarks.
* [VBench](https://github.com/Vchitect/VBench) ![](https://img.shields.io/github/stars/Vchitect/VBench.svg?cacheSeconds=86400) - VBench is a comprehensive benchmark suite for video generative models.
* [VLMEvalKit](https://github.com/open-compass/VLMEvalKit) ![](https://img.shields.io/github/stars/open-compass/VLMEvalKit.svg?cacheSeconds=86400) - VLMEvalKit is an open-source evaluation toolkit of large vision-language models (LVLMs).
- [KubeStellar Console](https://github.com/kubestellar/console) - Multi-cluster Kubernetes dashboard with AI/ML model monitoring, GPU utilization tracking, real-time observability, and CNCF project integrations. CNCF Sandbox project.

## Explainability and Fairness
* [Aequitas](https://github.com/dssg/aequitas) ![](https://img.shields.io/github/stars/dssg/aequitas.svg?cacheSeconds=86400) - An open-source bias audit toolkit for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive risk-assessment tools.
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