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Update ecosystem_components_list.yml
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data/ecosystem_components_list.yml

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osai-recommendation: R5
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osai-explanation: Can be used to ensure reproducible environments with declarative package management, tracking all system dependencies and configurations useful for ensuring reproducible AI/ML models (R5)
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- id: ''
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name: ''
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type: ''
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- id: ansible
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name: Ansible
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type: Reproducibility tool
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description: >-
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''
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url: ''
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Ansible is an automation tool used for system configuration, software deployment, and orchestration.
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url: https://docs.ansible.com/ansible/latest/getting_started/index.html
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biotools-url: ''
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fairsharing-url: ''
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access-model: Free
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domain: domain-agnostic
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osai-recommendation: ''
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osai-explanation: ''
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osai-recommendation: R5
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osai-explanation: Ansible supports reproducible environments and ensure consistent states across systems, useful for reproducibility of AI/ML models (R5).
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- id: ''
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name: ''
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type: ''
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- id: greenaipaper
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name: Green AI
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type: Paper
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description: >-
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''
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url: ''
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Arxiv paper from 2019 on Green AI by members of the Allen Institute for AI.
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url: https://doi.org/10.48550/arXiv.1907.10597
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biotools-url: ''
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fairsharing-url: ''
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access-model: Free
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domain: domain-agnostic
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osai-recommendation: ''
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osai-explanation: ''
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- id: ''
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name: ''
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type: ''
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- id: neptuneaireproduceblog
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name: Neptune.ai Reproducibility Guide
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type: Paper
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description: >-
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''
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url: ''
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Blog post from neputune.ai offering guiding information on developing reproducible AI/ML models.
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url: https://neptune.ai/blog/how-to-solve-reproducibility-in-ml
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biotools-url: ''
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fairsharing-url: ''
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access-model: Free
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domain: domain-agnostic
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osai-recommendation: ''
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osai-explanation: ''
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- id: ''
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name: ''
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type: ''
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- id: reproducibilitystandardspaper
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name: Reproducibility standards for machine learning in the life sciences
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type: Paper
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description: >-
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''
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url: ''
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Paper proposes standards based on data, model and code publication, programming best practices and workflow automation for reprodcubility.
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url: https://www.nature.com/articles/s41592-021-01256-7
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biotools-url: ''
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fairsharing-url: ''
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access-model: Free
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domain: domain-agnostic
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osai-recommendation: ''
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osai-explanation: ''
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- id: ''
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name: ''
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type: ''
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- id: cloudcarbonfootprint
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name: Cloud Carbon Footprint
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type: Tool
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description: >-
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''
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url: ''
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Cloud carbon emissions measurement and analysis tool.
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url: https://www.cloudcarbonfootprint.org/
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biotools-url: ''
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fairsharing-url: ''
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access-model: Free
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domain: domain-agnostic
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osai-recommendation: ''
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osai-explanation: ''
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osai-recommendation: R9
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osai-explanation: Resource to support measurment of AI/ML model emissions (R9)
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- id: ''
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name: ''
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type: ''
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- id: googlecarbonfreeguide
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name: Carbon free energy for Google Cloud regions
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type: Tool
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description: >-
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''
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url: ''
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Guide for choosing low carbon Google cloud computing datacentres.
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url: https://cloud.google.com/sustainability/region-carbon
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biotools-url: ''
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fairsharing-url: ''
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access-model: Free
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domain: domain-agnostic
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osai-recommendation: ''
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osai-explanation: ''
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osai-recommendation: R8
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osai-explanation: Resource for informing choice of low carbon emission datacentre choice when using Google cloud, useful for reducing AI/ML model development carbon emissions (R8).
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- id: ''
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name: ''

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