Machine Learning Ops (MLOps) and Data Science

!!! info "Architectural Context" Detailed reference for Machine Learning Ops (MLOps) and Data Science in the context of AI.

Platform

Reference

Platform

Reference

(2026) ==medium.com/mlearning-ai: The Best Object Detection Libraries That I Work With== 🌟🌟🌟🌟🌟 [DE FACTO STANDARD] — A curated reference on medium.com/mlearning-ai: The Best Object Detection Libraries That I Work With for modern cloud native architectures.
(2026) towardsdatascience.com: A Kubernetes architecture for machine learning web-application deployments 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on towardsdatascience.com: A Kubernetes architecture for machine learning web-application deployments for modern cloud native architectures.
(2026) itnext.io: Building ML Componentes on Kubernetes 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on itnext.io: Building ML Componentes on Kubernetes for modern cloud native architectures.
(2026) mikeroyal/Kubernetes-Guide: Machine Learning 🌟 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on ==mikeroyal/Kubernetes-Guide: Machine Learning== 🌟 for modern cloud native architectures.
(2026) medium.com/workday-engineering: Implementing a Fully Automated Sharding Strategy on Kubernetes for Multi-tenanted Machine Learning Applications 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on medium.com/workday-engineering: Implementing a Fully Automated Sharding Strategy on Kubernetes for Multi-tenanted Machine Learning Applications for modern cloud native architectures.
(2026) medium.com/globant: Advantages of Deploying Machine Learning models with Kubernetes 🌟 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on medium.com/globant: Advantages of Deploying Machine Learning models with Kubernetes 🌟 for modern cloud native architectures.
(2026) openai.com: Scaling Kubernetes to 7,500 nodes 🌟 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on openai.com: Scaling Kubernetes to 7,500 nodes 🌟 for modern cloud native architectures.
(2026) medium.com/ai-hero: Streamlining Machine Learning Operations (MLOps) with Kubernetes and Terraform 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on medium.com/ai-hero: Streamlining Machine Learning Operations (MLOps) with Kubernetes and Terraform for modern cloud native architectures.
(2026) dev.to/pavanbelagatti: Deploy Any AI/ML Application On Kubernetes: A Step-by-Step Guide! 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on dev.to/pavanbelagatti: Deploy Any AI/ML Application On Kubernetes: A Step-by-Step Guide! for modern cloud native architectures.
(2026) canvatechblog.com: Supporting GPU-accelerated Machine Learning with Kubernetes and Nix 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on canvatechblog.com: Supporting GPU-accelerated Machine Learning with Kubernetes and Nix for modern cloud native architectures.
(2026) catalog.ngc.nvidia.com: NVIDIA GPU Operator - Helm chart 🌟🌟🌟 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on catalog.ngc.nvidia.com: NVIDIA GPU Operator - Helm chart 🌟🌟🌟 for modern cloud native architectures.
(2026) huggingface.co: Implementing Fractional GPUs in Kubernetes with Aliyun Scheduler 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on huggingface.co: Implementing Fractional GPUs in Kubernetes with Aliyun Scheduler for modern cloud native architectures.
(2026) medium.com/@bchenjh: Distributed full fine-tuning of Llama2 on Kubernetes 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on medium.com/@bchenjh: Distributed full fine-tuning of Llama2 on Kubernetes for modern cloud native architectures.
(2026) betterprogramming.pub: Attach a Visual Debugger to ML-training Jobs on Kubernetes 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on betterprogramming.pub: Attach a Visual Debugger to ML-training Jobs on Kubernetes for modern cloud native architectures.
(2026) cd.foundation: Announcing the CD Foundation MLOps SIG 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on cd.foundation: Announcing the CD Foundation MLOps SIG for modern cloud native architectures.
(2026) dafriedman97.github.io: Machine Learning from Scratch 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on dafriedman97.github.io: Machine Learning from Scratch for modern cloud native architectures.
(2026) cortex.dev: How to build a pipeline to retrain and deploy models 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on cortex.dev: How to build a pipeline to retrain and deploy models for modern cloud native architectures.
(2026) github: A very Long never ending Learning around Data Engineering & Machine' Learning 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on github: A very Long never ending Learning around Data Engineering & Machine' Learning for modern cloud native architectures.
(2026) cloud.google.com: How to use a machine learning model from a Google Sheet using BigQuery ML 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on cloud.google.com: How to use a machine learning model from a Google Sheet using BigQuery ML for modern cloud native architectures.
(2026) towardsdatascience.com: Deploying An ML Model With FastAPI — A Succinct Guide 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on towardsdatascience.com: Deploying An ML Model With FastAPI — A Succinct Guide for modern cloud native architectures.
(2026) cloudblogs.microsoft.com: Simple steps to create scalable processes to deploy ML models as microservices 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on cloudblogs.microsoft.com: Simple steps to create scalable processes to deploy ML models as microservices for modern cloud native architectures.
(2026) ML Platform Workshop ⭐ 445 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on ML Platform Workshop for modern cloud native architectures.
(2026) rubrix ⭐ 5002 🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on rubrix for modern cloud native architectures.
(2026) towardsdatascience.com: Automatically Generate Machine Learning Code with Just a Few Clicks 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on towardsdatascience.com: Automatically Generate Machine Learning Code with Just a Few Clicks for modern cloud native architectures.
(2026) towardsdatascience.com: Schemafull streaming data processing in ML pipelines 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on towardsdatascience.com: Schemafull streaming data processing in ML pipelines for modern cloud native architectures.
(2026) analyticsindiamag.com: Top tools for enabling CI/CD in ML pipelines 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on analyticsindiamag.com: Top tools for enabling CI/CD in ML pipelines for modern cloud native architectures.
(2026) towardsdatascience.com: Step-by-step Approach to Build Your Machine Learning API Using Fast API 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on towardsdatascience.com: Step-by-step Approach to Build Your Machine Learning API Using Fast API for modern cloud native architectures.
(2026) medium.com/pythoneers: MLOps: Tool Stack Requirement in Machine Learning Pipeline 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on medium.com/pythoneers: MLOps: Tool Stack Requirement in Machine Learning Pipeline for modern cloud native architectures.
(2026) medium.com/formaloo: How no-code platforms are democratizing data science and software development 🌟 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on medium.com/formaloo: How no-code platforms are democratizing data science and software development 🌟 for modern cloud native architectures.
(2026) towardsdatascience.com: From Jupyter Notebooks to Real-life: MLOps 🌟 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on towardsdatascience.com: From Jupyter Notebooks to Real-life: MLOps 🌟 for modern cloud native architectures.
(2026) datarevenue.com: Airflow vs. Luigi vs. Argo vs. MLFlow vs. KubeFlow 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on datarevenue.com: Airflow vs. Luigi vs. Argo vs. MLFlow vs. KubeFlow for modern cloud native architectures.
(2026) towardsdatascience.com: From Dev to Deployment: An End to End Sentiment Classifier App with MLflow, SageMaker, and Streamlit 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on towardsdatascience.com: From Dev to Deployment: An End to End Sentiment Classifier App with MLflow, SageMaker, and Streamlit for modern cloud native architectures.
(2026) elconfidencial.com: La batalla entre Google y Meta que nadie esperaba: revolucionar la biología 🌟 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on elconfidencial.com: La batalla entre Google y Meta que nadie esperaba: revolucionar la biología 🌟 for modern cloud native architectures.
(2026) swirlai.substack.com: SAI #08: Request-Response Model Deployment - The MLOps Way, Spark - Executor Memory Structure and more... 🌟 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on swirlai.substack.com: SAI #08: Request-Response Model Deployment - The MLOps Way, Spark - Executor Memory Structure and more... 🌟 for modern cloud native architectures.
(2026) huyenchip.com: Building LLM applications for production 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on huyenchip.com: Building LLM applications for production for modern cloud native architectures.
(2026) medium.com/@study.uttam: Main Challenges of Machine Learning 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on medium.com/@study.uttam: Main Challenges of Machine Learning for modern cloud native architectures.
(2026) learn.microsoft.com: Machine Learning operations maturity model 🌟 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on learn.microsoft.com: Machine Learning operations maturity model 🌟 for modern cloud native architectures.
(2026) medium.com/@karanshingde: Machine Learning in Production— Your Comprehensive 101 Practical Guide 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on medium.com/@karanshingde: Machine Learning in Production— Your Comprehensive 101 Practical Guide for modern cloud native architectures.
(2026) marvelousmlops.substack.com: CI/CD for MLOps on GitLab (part 1) 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on marvelousmlops.substack.com: CI/CD for MLOps on GitLab (part 1) for modern cloud native architectures.
(2026) medium.com/aiguys: MLOps: Serving AI apps to million users 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on medium.com/aiguys: MLOps: Serving AI apps to million users for modern cloud native architectures.
(2026) marvelousmlops.substack.com: How to sell MLOps in large Organizations 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on marvelousmlops.substack.com: How to sell MLOps in large Organizations for modern cloud native architectures.
(2026) marvelousmlops.substack.com: MLOps roadmap 2024 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on marvelousmlops.substack.com: MLOps roadmap 2024 for modern cloud native architectures.
(2026) towardsdatascience.com: Deploying LLM Apps to AWS, the Open-Source Self-Service Way 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on towardsdatascience.com: Deploying LLM Apps to AWS, the Open-Source Self-Service Way for modern cloud native architectures.
(2026) axelmendoza.com: The Ultimate Guide To ML Model Deployment In 2024 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on axelmendoza.com: The Ultimate Guide To ML Model Deployment In 2024 for modern cloud native architectures.
(2026) towardsdatascience.com: Build Machine Learning Pipelines with Airflow and Mlflow: Reservation Cancellation Forecasting 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on towardsdatascience.com: Build Machine Learning Pipelines with Airflow and Mlflow: Reservation Cancellation Forecasting for modern cloud native architectures.
(2026) marvelousmlops.substack.com: Technical roles in Data Science: Who is doing what? 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on marvelousmlops.substack.com: Technical roles in Data Science: Who is doing what? for modern cloud native architectures.
(2026) marvelousmlops.substack.com: Traceability & Reproducibility 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on marvelousmlops.substack.com: Traceability & Reproducibility for modern cloud native architectures.
(2026) seattledataguy.substack.com: Data Engineering Vs Machine Learning Pipelines 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on seattledataguy.substack.com: Data Engineering Vs Machine Learning Pipelines for modern cloud native architectures.
(2026) semaphoreci.com: Why Do We Need DevOps for ML Data? 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on semaphoreci.com: Why Do We Need DevOps for ML Data? for modern cloud native architectures.
(2026) aiml.com: Large Language Models Quiz (Medium) 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on aiml.com: Large Language Models Quiz (Medium) for modern cloud native architectures.
(2026) medium.com/@samiullah6799: Different Roles in MLOps 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on medium.com/@samiullah6799: Different Roles in MLOps for modern cloud native architectures.
(2026) marvelousmlops.substack.com: Sharpen your cookiecutter: speed up repo creation with workflows 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on marvelousmlops.substack.com: Sharpen your cookiecutter: speed up repo creation with workflows for modern cloud native architectures.
(2026) decodingml.substack.com: How to ensure your models are fail-safe in production? 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on decodingml.substack.com: How to ensure your models are fail-safe in production? for modern cloud native architectures.
(2026) medium.com/@kevin30101999: Machine Learning Pipeline using Argo workflow 🌟 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on medium.com/@kevin30101999: Machine Learning Pipeline using Argo workflow 🌟 for modern cloud native architectures.
(2026) roadmap.sh: MLOps roadmap 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on roadmap.sh: MLOps roadmap for modern cloud native architectures.
(2026) Marvelous MLOps Substack 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on Marvelous MLOps Substack for modern cloud native architectures.
(2026) decodingml.substack.com: Decoding ML Newsletter 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on decodingml.substack.com: Decoding ML Newsletter for modern cloud native architectures.
(2026) Ray 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on Ray for modern cloud native architectures.
(2026) artifacthub.io: mlflow-server 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on artifacthub.io: mlflow-server for modern cloud native architectures.
(2026) pypi.org/project/airflow-provider-mlflow 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on pypi.org/project/airflow-provider-mlflow for modern cloud native architectures.
(2026) blog.devgenius.io: Kubeflow Cloud Deployment (AWS) 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on blog.devgenius.io: Kubeflow Cloud Deployment (AWS) for modern cloud native architectures.
(2026) joseprsm.medium.com: How to build Machine Learning models that train themselves 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on joseprsm.medium.com: How to build Machine Learning models that train themselves for modern cloud native architectures.
(2026) medium.com/dkatalis: Creating a Mutating Webhook for Great Good! Or: how to automatically provision Pods on a specific node pool 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on medium.com/dkatalis: Creating a Mutating Webhook for Great Good! Or: how to automatically provision Pods on a specific node pool for modern cloud native architectures.
(2026) mlops.community: MLOps with Flyte: The Convergence of Workflows Between Machine Learning and Engineering 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on mlops.community: MLOps with Flyte: The Convergence of Workflows Between Machine Learning and Engineering for modern cloud native architectures.
(2026) stackoverflow.com: How is Flyte tailored to "Data and Machine Learning"? 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on stackoverflow.com: How is Flyte tailored to "Data and Machine Learning"? for modern cloud native architectures.
(2026) mlops.community: MLOps Simplified: orchestrating ML pipelines with infrastructure abstraction. Enabled by Flyte 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on mlops.community: MLOps Simplified: orchestrating ML pipelines with infrastructure abstraction. Enabled by Flyte for modern cloud native architectures.
(2026) medium.com/@timleonardDS: Who Let the DAGs out? Register an External DAG with Flyte (Chapter 3) 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on medium.com/@timleonardDS: Who Let the DAGs out? Register an External DAG with Flyte (Chapter 3) for modern cloud native architectures.
(2026) aws.amazon.com: MLOps foundation roadmap for enterprises with Amazon SageMaker 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on aws.amazon.com: MLOps foundation roadmap for enterprises with Amazon SageMaker for modern cloud native architectures.
(2026) aws.amazon.com: Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on aws.amazon.com: Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD for modern cloud native architectures.
(2026) docs.microsoft.com: MLflow and Azure Machine Learning 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on docs.microsoft.com: MLflow and Azure Machine Learning for modern cloud native architectures.
(2026) bea.stollnitz.com: Creating batch endpoints in Azure ML 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on bea.stollnitz.com: Creating batch endpoints in Azure ML for modern cloud native architectures.
(2026) blog.devops.dev: Mastering Machine Learning at Scale with Azure Machine Learning 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on blog.devops.dev: Mastering Machine Learning at Scale with Azure Machine Learning for modern cloud native architectures.
(2026) learn.microsoft.com: Azure Well-Architected Framework perspective on Azure Machine Learning 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on learn.microsoft.com: Azure Well-Architected Framework perspective on Azure Machine Learning for modern cloud native architectures.
(2026) marvelousmlops.substack.com: Model serving architectures on Databricks 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on marvelousmlops.substack.com: Model serving architectures on Databricks for modern cloud native architectures.
(2026) medium.com/sync-computing: Top 9 Lessons Learned about Databricks Jobs Serverless 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on medium.com/sync-computing: Top 9 Lessons Learned about Databricks Jobs Serverless for modern cloud native architectures.
(2026) thenewstack.io: KServe: A Robust and Extensible Cloud Native Model Server 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on thenewstack.io: KServe: A Robust and Extensible Cloud Native Model Server for modern cloud native architectures.
(2026) medium.com/bakdata: Scalable Machine Learning with Kafka Streams and KServe 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on medium.com/bakdata: Scalable Machine Learning with Kafka Streams and KServe for modern cloud native architectures.
(2026) analyticsvidhya.com: Bring DevOps To Data Science With MLOps 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on analyticsvidhya.com: Bring DevOps To Data Science With MLOps for modern cloud native architectures.
(2026) analyticsindiamag.com: Is coding necessary to work as a data scientist? 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on analyticsindiamag.com: Is coding necessary to work as a data scientist? for modern cloud native architectures.
(2026) towardsdatascience.com: From DevOps to MLOPS: Integrate Machine Learning Models using Jenkins and Docker 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on towardsdatascience.com: From DevOps to MLOPS: Integrate Machine Learning Models using Jenkins and Docker for modern cloud native architectures.
(2026) Nix 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on Nix for modern cloud native architectures.
(2026) github.com/meta-llama/llama-recipes ⭐ 18353 🌟🌟🌟 [DE FACTO STANDARD] — A curated reference on github.com/meta-llama/llama-recipes for modern cloud native architectures.
(2026) bodywork-ml/bodywork-core: Bodywork ⭐ 436 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on bodywork-ml/bodywork-core: Bodywork for modern cloud native architectures.
(2026) learn.iterative.ai: Iterative Tools for Data Scientists & Analysts 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on learn.iterative.ai: Iterative Tools for Data Scientists & Analysts for modern cloud native architectures.
(2026) DVC 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on DVC for modern cloud native architectures.
(2026) docs.microsoft.com: Machine Learning Experimentation in VS Code with DVC Extension 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on docs.microsoft.com: Machine Learning Experimentation in VS Code with DVC Extension for modern cloud native architectures.
(2026) tensorchord/envd: Reproducible development environment for AI/ML 🌟 ⭐ 2209 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on tensorchord/envd: Reproducible development environment for AI/ML 🌟 for modern cloud native architectures.
(2026) postgresml/postgresml 🌟 ⭐ 6800 🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on postgresml/postgresml 🌟 for modern cloud native architectures.
(2026) blog.devgenius.io: Training model with Jenkins using docker: MLOPS 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on blog.devgenius.io: Training model with Jenkins using docker: MLOPS for modern cloud native architectures.
(2026) vaex.io 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on vaex.io for modern cloud native architectures.
(2026) thenewstack.io: 7 Must-Have Python Tools for ML Devs and Data Scientists 🌟 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on thenewstack.io: 7 Must-Have Python Tools for ML Devs and Data Scientists 🌟 for modern cloud native architectures.
(2026) github.com/SymbioticLab/Oobleck: Oobleck - Resilient Distributed Training' Framework ⭐ 100 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on github.com/SymbioticLab/Oobleck: Oobleck - Resilient Distributed Training' Framework for modern cloud native architectures.
(2026) github.com/CASIA-IVA-Lab/FastSAM ⭐ 8364 🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on github.com/CASIA-IVA-Lab/FastSAM for modern cloud native architectures.
(2026) github.com/VikParuchuri/surya ⭐ 20801 🌟🌟🌟 [DE FACTO STANDARD] — A curated reference on github.com/VikParuchuri/surya for modern cloud native architectures.
(2026) github.com/aimhubio/aim ⭐ 6154 🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on github.com/aimhubio/aim for modern cloud native architectures.
(2026) github.com/XuehaiPan/nvitop 🌟 ⭐ 6957 🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on ==github.com/XuehaiPan/nvitop== 🌟 for modern cloud native architectures.
(2026) github.com/Netflix/metaflow 🌟 ⭐ 10128 🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on ==github.com/Netflix/metaflow== 🌟 for modern cloud native architectures.
(2026) github.com/decodingml: Real-time news search engine using Upstash Kafka and Vector DB ⭐ 140 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on github.com/decodingml: Real-time news search engine using Upstash Kafka and Vector DB for modern cloud native architectures.
(2026) zenml.io: ZenML 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on zenml.io: ZenML for modern cloud native architectures.
(2026) fepegar/vesseg ⭐ 44 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on fepegar/vesseg for modern cloud native architectures.
(2026) github.com/10tanmay100: MEDICAL-DATA-PROJECT-END2END-WITH-FEW-MLOPS ⭐ 3 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on github.com/10tanmay100: MEDICAL-DATA-PROJECT-END2END-WITH-FEW-MLOPS for modern cloud native architectures.
(2026) dair-ai/ML-Course-Notes: ML Course Notes 🌟 ⭐ 6568 🌟🌟🌟 [ENTERPRISE-STABLE] — A curated reference on ==dair-ai/ML-Course-Notes: ML Course Notes== 🌟 for modern cloud native architectures.
(2026) kaggle.com: Sports Car Prices dataset 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on kaggle.com: Sports Car Prices dataset for modern cloud native architectures.
(2026) freecodecamp.org: How to Download a Kaggle Dataset Directly to a Google Colab Notebook 🌟🌟🌟 [COMMUNITY-TOOL] — A curated reference on freecodecamp.org: How to Download a Kaggle Dataset Directly to a Google Colab Notebook for modern cloud native architectures.

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Machine Learning Ops (MLOps) and Data Science

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