Étiquette : MLOps
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7 Considerations Before Pushing Machine Learning Models to Production
Being part of a company that values scalability, I daily see, as a data scientist, the challenges that come with putting AI-based solutions in production. These challenges are numerous and cover a variety of aspects: modeling and system design, data engineering, resource management, SLA, etc. https://towardsdatascience.com/7-considerations-before-pushing-machine-learning-models-to-production-efab64c4d433 7 Considerations Before Pushing Machine Learning Models to Production…
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28 January, 2022 07:19
https://medium.com/@anushkhabajpai/mlops-best-resources-340b69615df2
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graviraja/MLOps-Basics
https://github.com/graviraja/MLOps-Basics
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NVIDIA is offering a four-hour, self-paced course on MLOps
https://analyticsindiamag.com/nvidia-is-offering-a-four-hour-self-paced-course-on-mlops/
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Microsoft & GitHub on Git-Based CI / CD for Machine Learning & MLOps | Iguazio
https://www.iguazio.com/sessions/git-based-ci-cd-for-machine-learning-mlops/?utm_campaign=LI_LeadAds_CI_CD_OnDemandWebinar4&utm_source=linkedin&utm_medium=paidsocial&li_fat_id=f15c53aa-870b-4744-b589-8a9a2dd03022
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ZenML
https://zenml.io/ ZenML – Reproducible Open-Source MLOps | ZenML ZenML is the open-source MLOps framework for reproducible ML pipelines and production-ready Machine Learning. zenml.io
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Introduction to MLOps for Data Science
https://pub.towardsai.net/introduction-to-mlops-for-data-science-e2ca5a759f68
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BERT as a service
https://github.com/dimitreOliveira/bert-as-a-service_TFX GitHub – dimitreOliveira/bert-as-a-service_TFX: End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis. BERT as a service This repository is designed to demonstrate a simple yet complete machine learning solution that uses a BERT model for text sentiment analysis using a TensorFlow Extended end-to-end pipeline, and making use of some…
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BERT as a service
https://github.com/dimitreOliveira/bert-as-a-service_TFX GitHub – dimitreOliveira/bert-as-a-service_TFX: End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis. BERT as a service This repository is designed to demonstrate a simple yet complete machine learning solution that uses a BERT model for text sentiment analysis using a TensorFlow Extended end-to-end pipeline, and making use of some…
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Google Cloud launches Vertex AI, unified platform for MLOps | Google Cloud Blog
https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-launches-vertex-ai-unified-platform-for-mlops
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What is MLOps? Machine Learning Operations Explained
https://www-freecodecamp-org.cdn.ampproject.org/c/s/www.freecodecamp.org/news/what-is-mlops-machine-learning-operations-explained/amp/
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GokuMohandas/mlops: https://madewithml.com/
https://github.com/GokuMohandas/mlops
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MLOps Tooling Landscape v2
https://huyenchip.com/2020/12/30/mlops-v2.html MLOps Tooling Landscape v2 (+84 new tools) – Dec ’20 Last June, I published the post What I learned from looking at 200 machine learning tools.The post got some attention and I got a lot of messages from people telling me about new tools. I updated the old list to now include 284 tools.…
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What I learned from looking at 200 machine learning tools
https://huyenchip.com/2020/06/22/mlops.html
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kelvins/awesome-mlops: A curated list of awesome MLOps tools
https://github.com/kelvins/awesome-mlops
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ML Inference on Edge devices with ONNX Runtime using Azure DevOps+MLOps – Microsoft Tech Community
https://techcommunity.microsoft.com/t5/ai-customer-engineering-team/ml-inference-on-edge-devices-with-onnx-runtime-using-azure/ba-p/1737331?WT.mc_id=DOP-MVP-4025064&utm_content=bufferfd11e&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer
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Using GitHub Actions for MLOps & Data Science
https://github.blog/2020-06-17-using-github-actions-for-mlops-data-science/ Using GitHub Actions for MLOps & Data Science – The GitHub Blog Background. Machine Learning Operations (or MLOps) enables Data Scientists to work in a more collaborative fashion, by providing testing, lineage, versioning, and historical information in an automated way. Because the landscape of MLOps is nascent, data scientists are often forced to implement…
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What I learned from looking at 200 machine learning tools
https://huyenchip.com/2020/06/22/mlops.html
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MLOps feature dive: Manage your assets, artifacts and code | AI Show | Channel 9
https://channel9.msdn.com/Shows/AI-Show/MLOps-feature-dive-Manage-your-assets-artifacts-and-code
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DataRobot Acquires MLOps Pioneer and Category Leader, ParallelM | DataRobot
https://www.datarobot.com/news/press/datarobot-acquires-mlops-pioneer-and-category-leader-parallelm/