Hacker News
- Metaflow, Netflix's Python framework for data science, is now open source https://metaflow.org 114 comments
- Metaflow: Netflix has open-sourced their Python library for data science project management https://metaflow.org/ 37 comments datascience
Linking pages
- GitHub - mikeroyal/Photogrammetry-Guide: Photogrammetry Guide. Learn all about the process of obtaining measurements and 3D models from photos. Creating topographic maps, meshes, or point clouds based on the real-world. https://github.com/mikeroyal/Photogrammetry-Guide 43 comments
- GitHub - meirwah/awesome-workflow-engines: A curated list of awesome open source workflow engines https://github.com/meirwah/awesome-workflow-engines 25 comments
- Open-Sourcing Metaflow, a Human-Centric Framework for Data Science | by Netflix Technology Blog | Netflix TechBlog https://medium.com/netflix-techblog/open-sourcing-metaflow-a-human-centric-framework-for-data-science-fa72e04a5d9 6 comments
- Version Controlled Data Pipelines: Metaflow + Dolt | by DoltHub | Medium https://dolthub.medium.com/version-controlled-data-pipelines-metaflow-dolt-79faf9eabef1 5 comments
- GitHub - mikeroyal/Machine-Learning-Guide: Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, and Training Models. https://github.com/mikeroyal/Machine-Learning-Guide 2 comments
- Book Launch: Effective Data Science Infrastructure | Outerbounds https://outerbounds.com/blog/book-launch-effective-data-science-infrastructure 1 comment
- GitHub - Netflix/metaflow: Build and manage real-life data science projects with ease! https://github.com/Netflix/metaflow 1 comment
- Open-Sourcing Metaflow, a Human-Centric Framework for Data Science | by Netflix Technology Blog | Netflix TechBlog https://netflixtechblog.com/open-sourcing-metaflow-a-human-centric-framework-for-data-science-fa72e04a5d9 1 comment
- How to build a DAG based Task Scheduling tool for Multiprocessor systems using python | by Ramses Alexander Coraspe Valdez | ITNEXT https://coraspe-ramses.medium.com/how-to-build-a-dag-based-task-scheduling-tool-for-multiprocessor-systems-using-python-d11a093a835b?sk=cd97481b16fea0e941c32362eaded7c5 1 comment
- GitHub - mikeroyal/VSCode-Guide: VSCode Guide https://github.com/mikeroyal/VSCode-Guide 1 comment
- Top MLOps Platforms/Tools to Manage the Machine Learning Lifecycle in 2022 - MarkTechPost https://www.marktechpost.com/2022/08/20/top-mlops-platforms-tools-to-manage-the-machine-learning-lifecycle-in-2022/ 0 comments
- GitHub - argoproj/argo-workflows: Workflow engine for Kubernetes https://github.com/argoproj/argo 0 comments
- Real-World MLOps Examples: Model Development in Hypefactors - neptune.ai https://neptune.ai/blog/mlops-examples-model-development-in-hypefactors 0 comments
- Deploying Machine Learning Models (is still terrible) :: Liam Atkinson — Thoughts on Machine Learning https://liamatkinson.com/posts/ml_deployment/ 0 comments
- How to build a DAG based Task Scheduling tool for Multiprocessor systems using python | by Ramses Alexander Coraspe Valdez | ITNEXT https://itnext.io/how-to-build-a-dag-based-task-scheduling-tool-for-multiprocessor-systems-using-python-d11a093a835b 0 comments
- Open-Sourcing a Monitoring GUI for Metaflow, Netflix’s ML Platform | by Netflix Technology Blog | Netflix TechBlog https://netflixtechblog.com/open-sourcing-a-monitoring-gui-for-metaflow-75ff465f0d60?gi=88922bb88235 0 comments
- Open-Sourcing a Monitoring GUI for Metaflow, Netflix’s ML Platform | by Netflix Technology Blog | Netflix TechBlog https://netflixtechblog.medium.com/open-sourcing-a-monitoring-gui-for-metaflow-75ff465f0d60 0 comments
- 9 Best Open-Source MLOps Tools - 2020 https://www.hitechnectar.com/blogs/open-source-mlops-tools/ 0 comments
- GitHub - valayDave/arxiv-miner: arxiv_miner is a toolkit for mining research papers on CS ArXiv. https://github.com/valayDave/arxiv-miner 0 comments
- Supporting content decision makers with machine learning | by Netflix Technology Blog | Netflix TechBlog https://netflixtechblog.com/supporting-content-decision-makers-with-machine-learning-995b7b76006f 0 comments
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