AIOps / MLOps / Infrastructure and software engineering for ML

[monperrus]

• https://en.wikipedia.org/wiki/MLOps

[monperrus]

https://github.com/machine-learning-apps/actions-ml-cicd
A Collection of GitHub Actions That Facilitate MLOps

[monperrus]

Machine learning operations with GitHub Actions and Kubernetes - GitHub Universe 2019
https://www.youtube.com/watch?v=Ll50l3fsoYs

[monperrus]

TinyMLOps: Operational Challenges for Widespread Edge AI Adoption https://arxiv.org/abs/2203.10923

[mrbgco]

Azure MLOps.

AWS MLOps.

[monperrus]

Apache Beam is an open source unified programming model to define and execute data processing pipelines, including ETL, batch and stream processing
https://beam.apache.org/

[monperrus]

The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable.
https://www.kubeflow.org/

[monperrus]

Tensorboard A suite of visualization tools to understand, debug, and optimize TensorFlow programs for ML experimentation
https://www.tensorflow.org/tensorboard

[monperrus]

"In the coming decade, all software development will be assisted by AI. Either the code is going to be generated with the help of AI, or it is going to be reviewed by AI, tested by AI, or even deployed by AI."
https://www.tabnine.com/blog/from-ci-to-ai-the-ai-layer-in-your-organization/
https://youtu.be/6YQX0LGaNy8

[monperrus]

Training and Serving Machine Learning Models at Scale. (arXiv:2211.05516v1 [cs.SE])

[bbaudry]

Quality Assurance in MLOps Setting: An Industrial Perspective.
http://arxiv.org/abs/2211.12706

[bbaudry]

Edge Impulse: An MLOps Platform for Tiny Machine Learning
http://arxiv.org/abs/2212.03332

[monperrus]

Edge Impulse: An MLOps Platform for Tiny Machine Learning.
http://arxiv.org/pdf/2212.03332

[bbaudry]

A Data Source Dependency Analysis Framework for Large Scale Data Science Projects.
http://arxiv.org/abs/2212.07951

[monperrus]

A fault injection platform for learning AIOps models.