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ML workflow and pipeline orchestration No ratings yet.

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Kale – Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows. Flyte – Easy to create concurrent, scalable, and maintainable workflows for machine learning. MLRun – Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines. Prefect – A workflow management system, designed for modern infrastructure. ZenML – An extensible open-source MLOps framework • Read More »

responsible AI No ratings yet.

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General intro https://github.com/alexandrainst/responsible-ai https://ai.google/responsibilities/responsible-ai-practices/ https://www.tensorflow.org/responsible_ai   Open source implementation https://github.com/microsoft/responsible-ai-toolbox https://www.tensorflow.org/responsible_ai/api_docs https://opendatascience.com/15-open-source-responsible-ai-toolkits-and-projects-to-use-today/ Responsible AI Toolkits for AI Ethics & Privacy TensorFlow Privacy TensorFlow Privacy is a Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy. TensorFlow Federated TFF has been developed to facilitate open research and experimentation with Federated Learning • Read More »