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本期AI周報重點：
●吳恩達：做好各ML生命周期的資料品質控管，專案至少快2倍完成
●GitHub一款熱門MLOps專案手把手教你實作
●AZ、莫德納和Google等上萬家大型企業在用的程式語言Julia獲2,400萬美元A輪融資
#看更多 https://www.ithome.com.tw/news/145844
#1. microsoft/MLOps: MLOps examples - GitHub
MLOps empowers data scientists and app developers to help bring ML models to production. MLOps enables you to track / version / audit / certify / re-use every ...
Multimodal AI services & pipelines with cloud-native stack: gRPC, Kubernetes, Docker, OpenTelemetry, Prometheus, Jaeger, etc. docker ...
#3. visenger/awesome-mlops: A curated list of references for MLOps
A curated list of references for MLOps . Contribute to visenger/awesome-mlops development by creating an account on GitHub.
#4. GokuMohandas/mlops-course: Learn how to design ... - GitHub
MLOps Course. Learn how to combine machine learning with software engineering to design, develop, deploy and iterate on production-grade ML applications.
#5. DataTalksClub/mlops-zoomcamp - GitHub
Teach practical aspects of productionizing ML services — from training and experimenting to model deployment and monitoring. Target audience. Data scientists ...
#6. sunglasses: A curated list of awesome MLOps tools - GitHub
A curated list of awesome MLOps tools. Inspired by awesome-python. Awesome MLOps. AutoML; CI/CD for Machine Learning; Cron Job Monitoring; Data Catalog; Data ...
#7. Azure MLOps (v2) solution accelerators - GitHub
MLOps is a set of repeatable, automated, and collaborative workflows with best practices that empower teams of ML professionals to quickly and easily get their ...
#8. MicrosoftLearning/mslearn-mlops - GitHub
This repository contains hands-on challenges for end-to-end machine learning operations (MLOps) with Azure Machine Learning.
#9. mlops-community · GitHub Topics
A repository for the Machine Learning Engineering for Production Specialization provided by Deeplearning.ai . machine-learning coursera mlops mlops-community.
#10. graviraja/MLOps-Basics - GitHub
The goal of the series is to understand the basics of MLOps like model building, monitoring, configurations, testing, packaging, deployment, cicd, etc.
#11. microsoft/dstoolkit-mlops-databricks: ML Ops Accelerator
MLOps Gify Visual (Allow 20 Seconds To Load). Version History And Updates. Azure ML Integration Now Live For GitHub Deployment. Development for Azure DevOps ...
#12. mlops-project · GitHub Topics
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
#13. Azure/mlops-v2-workshop - GitHub
Contribute to Azure/mlops-v2-workshop development by creating an account on GitHub.
#14. Bismuth-Consultancy-BV/MLOPs: Machine Learning ... - GitHub
Machine Learning Toolset for Houdini. Contribute to Bismuth-Consultancy-BV/MLOPs development by creating an account on GitHub.
#15. GoogleCloudPlatform/mlops-with-vertex-ai: An end-to ... - GitHub
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI - GitHub - GoogleCloudPlatform/mlops-with-vertex-ai: An end-to-end ...
#16. Engineering MLOps, published by Packt - GitHub
Engineering MLOps, published by Packt. Contribute to PacktPublishing/EngineeringMLOps development by creating an account on GitHub.
#17. aws-solutions/mlops-workload-orchestrator - GitHub
The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model ...
#18. Learn MLOps From These GitHub Repositories - KDnuggets
Kickstart your MLOps career with these curated GitHub repositories. ... Machine Learning Operations (MLOps) is a combination of Machine Learning, ...
#19. Machine Learning Ops | Learn how to use GitHub for ...
Blog Posts that are relevant to using GitHub for Data Science and ML Ops. ... More information about the team that works on MLOps at GitHub.
#20. How to Build MLOps Pipelines with GitHub Actions [Step by ...
Build MLOps pipelines using GitHub Actions and Google Cloud: a step-by-step guide focusing on practical application.
#21. Set up MLOps with GitHub - Azure Machine Learning
Git running on your local machine. GitHub as the source control repository. Note. Git version 2.27 or newer is required. For more information on ...
#22. MLOps Guide
MLOps is a methodology of operation that aims to facilitate the process of bringing an experimental Machine Learning model into production and maintaining it ...
#23. Teaching MLOps at scale with GitHub - Universe 2022
Presented by: Noah Gift GitHub ecosystem is a perfect location to teach once and deploy reproducible education assets, including source code ...
#24. 5 Simple Steps to MLOps with GitHub Actions, MLflow, and ...
5 Simple Steps to MLOps with GitHub Actions, MLflow, and SageMaker Pipelines · Step 1: Setting up your project environment · Step 2: Experimenting and ...
#25. The Ultimate Collection of MLOps GitHub Repositories
The first GitHub repo is the MLOps Zoomcamp which teaches practical aspects of productionizing ML services — from training and experimenting to model deployment ...
#26. Using GitHub Actions for MLOps & Data Science
Using GitHub Actions for MLOps & Data Science ... Background Machine Learning Operations (or MLOps) enables Data Scientists to work in a more ...
#27. GitHub Actions in MLOps: Automatically Check and Deploy ...
GitHub Actions in MLOps: Automatically Check and Deploy Your ML Model. Automate Your ML Pipeline with GitHub Actions. Khuyen Tran.
#28. A Preliminary Investigation of MLOps Practices in GitHub - arXiv
Our preliminary results suggest that the adoption of MLOps workflows in open-source GitHub projects is currently rather limited. Conclusions.
#29. A Preliminary Investigation of MLOps Practices in GitHub
In this paper, we present an initial investigation of the MLOps practices implemented in a set of ML-enabled systems retrieved from GitHub, ...
#30. A one-stop curated list of free learning resources for ...
Machine Learning Ops by GitHub. mlops.githubapp.com/. MLOps Landscape by Chip Huyen.
#31. The Ultimate Collection of MLOps GitHub Repositories
This article aims to serve as a guide for both beginners and seasoned professionals in the field of MLOps, showcasing a hand-picked selection of GitHub ...
#32. MLOps using GitHub | GitHub Satellite 2021 · March 26-27, India
In this session, we will look at how we can use GitHub as the center of our MLOps Lifecycle to bind our data, model, and our teams.
#33. MLOps workflow with Github Actions [Video] - O'Reilly
Get MLOps workflow with Github Actions now with the O'Reilly learning platform. O'Reilly members experience books, live events, courses curated by job role, ...
#34. GitHub Actions Facilitate MLOps on Repositories - Synced
GitHub recently introduced a series of free and open-source GitHub Actions that merge data science and machine learning workflows with a ...
#35. 【 MLOps 】透過GitHub Action 觸發Azure Machine Learning ...
【 MLOps 】透過GitHub Action 觸發Azure Machine Learning 中的Pipeline Job 進行模型訓練與驗證並透過Microsoft Teams 傳送相關資訊 ...
#36. Optimize your MLOps Workflow with a Feature Store CI/CD ...
Learn how to setup an end-to-end workflow (using Github Actions) to validate, test and deploy the pipeline code on the Hopsworks Feature ...
#37. (PDF) A Preliminary Investigation of MLOps Practices in GitHub
[5] focused on GitHub Actions and CML 2 to present a preliminary analysis of the MLOps practices in GitHub. They studied 397 Actions workflows ...
#38. SageMaker MLOps Project Walkthrough Using Third-party Git ...
For SageMaker project templates, choose MLOps template for model building, training, and deployment with third-party Git repositories. Choose Select project ...
#39. Microsoft & GitHub on Git-Based CI / CD for Machine ... - Iguazio
Learn about using Git to enable continuous delivery of ML to production, enable controlled collaboration across ML teams, and solve rigorous MLOps needs.
#40. Data Science Meets Devops: MLOps with Jupyter, Git ...
Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes. An end-to-end example of deploying a machine learning product using ...
#41. Top MLOps Tool Repos On Github - Analytics India Magazine
Here are the top Github MLOps tools repos: Seldon Core. Seldon core is an MLOps framework to package, deploy, monitor and manage thousands ...
#42. A great MLOps project should start with a good Python Package
Freelancer: AI/ML Engineer | Data Scientist | MLOps Community ... Link to the repository – https://github.com/fmind/mlops-python-package ...
#43. Continuous Integration (CI/CD) for ML Pipelines with Github ...
1:30 - Create a new Github branch with cml.yaml file for ML workstream ... 8:13 - Run Git Action with text information in Readme file ... #github #mlops.
#44. Data Version Control · DVC
Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.
#45. MLOPS with R and GitHub Actions - R-bloggers
With thanks to the kind folks at Lander Analytics, video from my New York R Conference talk earlier this month is now available to view.
#46. MLOps Basics [Week 6]: CI/CD - GitHub Actions - Raviraja's Blog
Configuring Github Action. Note: MLOps includes model development also as a part of the cycle. This post covers only devops part. ocean ...
#47. MLOps End-to-End Solution With Open-Source Tools
The ML pipeline is automatically triggered when a change is pushed to the code repository. Code can be stored on Github, one of the most popular ...
#48. MLOps: Building Continuous Training and Delivery Pipelines
This post introduces concepts around MLOps, and provides an example project to get you started building robust pipelines with GitHub Actions ...
#49. [PDF] A Preliminary Investigation of MLOps Practices in GitHub
This paper presents an initial investigation of the MLOps practices implemented in a set of ML-enabled systems retrieved from GitHub, ...
#50. GitHub on Twitter: "Manage the complexity of MLOps by ...
@github. Manage the complexity of MLOps by centralizing the process on GitHub. Noah Gift, Founder of Pragmatic AI Labs shares how.
#51. MLOps | Versioning Datasets with Git & DVC - Analytics Vidhya
MLOps | Versioning Datasets with Git & DVC. download ... Github uses an application known as Git to apply version control to your code.
#52. Microsoft & GitHub on Git-Based CI ... - AI Infrastructure Alliance
Leverage Git to solve rigorous MLOps needs: automating workflows, reviewing models, storing versioned models as artifacts, and running CI/CD ...
#53. Training ML models directly from GitHub with cnvrg.io MLOps
In this post, I'll show you how you can train machine learning models directly from GitHub. I originally presented this workshop at GitHub Satelite 2020 ...
#54. MLOps Automation with Git Based CI/CD for ML
Notifications. Dynamically provisioned serverless jobs/functions. Data-Scientist / Developer. Git. ML Engineer. Import functions. MLOps Automation ...
#55. Mlops-v2 accelerator- Issue running "traininng deployment ...
Hope you are doing well. I am currently facing an issue with the execution of my training model pipelines(pipeline.yml for Github and ...
#56. MLOps with GitHub Actions and R - mdneuzerling
MLOps with GitHub Actions and R. 2020-06-28 ... I want a git repository with two main branches: trunk and production. When I push new code ...
#57. How to implement MLOps in R step by step - Ander Fernández
... how you can do MLOps in R with Docker, Google Cloud and Github Actions. ... MLOps is a methodology to make the production of Machine Learning models ...
#58. NEW VIDEO! MLOps Tutorial #1: Intro to continuous ...
A video tutorial about using continuous integration in data science and machine learning projects. This tutorial shows how to use GitHub Actions and ...
#59. Which role does Github Actions currently play in MLOps?
The landing zone for anything MLOps - beginners and pros welcome. ... we are transitioning our ci/cd system (jenkins) to github actions.
#60. Setting Up GitHub, Docker, and Google Cloud Platform for ...
You'll end up with a functional pipeline that meets the requirements of level 2 in the Google MLOps Maturity Model.
#61. Azure ML Pipelines and MLOps with GitHub Actions – Part 3 |
All of the code for this can be found on my GitHub. How to run the training process from GitHub Action. To put the "Ops" in "MLOps" the pipeline ...
#62. TensorFlow
Implement MLOps. Run models in production and keep them performing. ... Stay connected. Blog · Forum · GitHub · Twitter · YouTube ...
#63. Git-based CI/CD for Machine Learning and MLOps - RTInsights
Much like DevOps, which software developers leverage to increase efficiency and speed up release cadence, MLOps streamlines the ML development ...
#64. MLOPS with R and GitHub Actions from Revolutions - Packt Hub
MLOPS with R and GitHub Actions from Revolutions · Define jobs as YAML files in the .github/workflows folder of your GitHub repository · Search ...
#65. Practical MLOps - 第 220 頁 - Google 圖書結果
Automatically build container via GitHub Actions and push to GitHub Container Registry As covered earlier in the book, the container workflow of GitHub ...
#66. Gcp mlops - Un Punto Macrobiotico
Week 3: Develop operations pipelines, including DevOps, DataOps, and MLOps, with Github. Week 4: Build containers for ML and package ...
#67. Top 10 Open Source MLOps Tools - The Chief IO
Primarily written in Python and JavaScript, MLFlow has over 9k stars and 296 project contributors on GitHub. Data Version Control (DVC). DVC is a python written ...
#68. Engineering MLOps: Rapidly build, test, and manage ...
Create a free account at dev.azure.com. A free account can be created using a pre-existing Microsoft or GitHub account.
#69. MLOps Company Iterative Introduces the First Open, Git ...
“The ability to build ML model registries using Git infrastructure and DevOps principles allows models to get into production faster.” MLEM is a ...
#70. 10 Awesome Resources for Learning MLOps - DataCamp
Made with ML is one of the top repositories on GitHub, and more than 30K+ people are taking his course. Lessons across Made with ML cover the basics of machine ...
#71. Chip Huyen
I help companies deploy machine learning into production. I write about MLOps tools and best practices.
#72. Made With ML: Home
Easily scale ML workloads (data, train, tune, serve) in Python without having to learn completely new languages. MLOps. Connect MLOps components (tracking, ...
#73. MLOps Principles
The objective of an MLOps team is to automate the deployment of ML models ... which is an extension of Git and an open-source version control system for ...
#74. Continuous Machine Learning with Kubeflow: Performing ...
Performing Reliable MLOps with Capabilities of TFX, Sagemaker and Kubernetes ... Here, we will be using the Hey (https://github.com/rakyll/hey) tool to test ...
#75. Setup — MLOps Python tutorial documentation
Then follow the instructions to set your virtual environment further down. Git¶. Git is a version control software that records changes to a file or set of ...
#76. Building a ML Pipeline from Scratch with Kubeflow – MLOps ...
1 – Notebook, Pipelines, Kserve; Kubernetes 1.21; MinIO; Hardware: Cisco UCS Server; You can find the Python Code + YAML files in my Github ...
#77. Weights & Biases – Developer tools for ML
... for launching our internal machine learning systems, as it enables collaboration across various teams." Hamel Husain. GitHub ... MLOps Whitepaper.
#78. PyCaret: Home
MLOPS + EXPERIMENT TRACKING + DEPLOY ON CLOUD + MONITOR DRIFT ... Give us a ⭐ on GitHub. Follow on LinkedIn. Subscribe to YouTube.
#79. CI/CD for Machine Learning: Test and Deploy Your ML Model ...
Learn how to build a CI/CD pipeline with GitHub Actions to automate ... Ktrnka/MLOPS_EXAMPLE_DVC: Mlops example using DVC, S3, and Heroku.
#80. A Comprehensive Guide to MLOps | Saturn Cloud Blog
Machine Learning Operations (MLOps) is a relatively new discipline ... like GitHub Actions or Jenkins to test model functionality regularly.
#81. Apache Liminal: when MLOps meets GitOps - Adaltas
Next you can install Apache Liminal using pip . pip install git+https://github.com/apache/incubator-liminal.git ...
#82. Machine Learning Engineering for Production (MLOps ...
Offered by DeepLearning.AI. Become a Machine Learning expert. Productionize your machine learning knowledge and expand your production ... Enroll for free.
#83. Optuna - A hyperparameter optimization framework
Easy parallelization. Parallelize hyperparameter searches over multiple threads or processes without modifying code. Github.
#84. Gcp mlops
MLOps Project on GCP using Kubeflow for Model Deployment. ... GitHub - noahgift/Python-MLOps-Cookbook: This is an example of a Containerized Flask ...
#85. AWS Workshops
... build and deployment flows. https://github.com/aws-samples/automated-security-helper ... Amazon SageMaker MLOps: from idea to production in six steps.
#86. Welcome to DataTalks.Club
Upcoming events. Introduction to ML Engineering and MLOps Zoomcamp on 28 Aug 2023 by Alexey Grigorev · Make Data Magical with Mage on 19 Sep 2023 by Matt Palmer.
#87. Streamlit • A faster way to build and share data apps
Streamlit is an open-source app framework for Machine Learning and Data Science teams. Create beautiful web apps in minutes.
#88. Resources - Meta AI
Cutting-edge open source frameworks, tools, libraries, and models for research exploration to large-scale production deployment.
#89. Git pytorch
Many thanks Just checkout the pytorch source code from github and run the ... It offers various builtin components that encode MLOps best practices and make ...
#90. Machine Learning & AI Courses | Google Cloud Training
Private Git repository to store, manage, and track code. Cloud Tasks. Task management service for asynchronous task execution. Cloud Workstations.
#91. Open Source Computer Vision Deployment with Roboflow ...
GitHub - roboflow/inference: An opinionated tool for running ... valuable MLOps resources to scaling their computer vision model deployment.
#92. MosaicML | Home
MosaicML enables you to easily train and deploy LLMs and other generative AI models on your data, in your secure environment. Train large AI models at scale ...
#93. Ml code - Haus am Tannenkamp
OpenAI Codex is the model based on GPT-3 that powers GitHub Copilot - a tool ... Testing the code used for MLOps or data science projects follows the same ...
#94. Introduction | Weaviate - vector database
Consider giving us a ⭐ on GitHub. ... Data Scientists - Who use Weaviate for a seamless handover of their Machine Learning models to MLOps.
#95. Ci cd for machine learning
Learn how to build a CI/CD pipeline with GitHub Actions to automate the testing ... While MLOps does adapt two concepts from DevOps - Continuous Integration ...
#96. Duke coursera login. You will learn the basic algorithms used
... operations pipelines, including DevOps, DataOps, and MLOps, with Github. ... Linux and Git Specialization EDHEC - Investment Management with Python and ...
#97. Mlfow
... tags + logging / loading artifacts) Execution of GitHub projects within notebook & against a remote target.7| Beginning MLOps with MLFlow: Deploy Models ...
#98. Python for devops pdf github
MLOps and Machine learning Engineering One of the hottest job titles in 2020 ... GitHub - HariSekhon/DevOps-Python-tools: 80+ DevOps & Data CLI Tools - AWS ...
#99. Free for Developers
Free for students via the GitHub Student Developer Pack. ... Exspanse - MLOPS Platform to build, train and deploy ML models and AI solutions.
mlops github 在 Teaching MLOps at scale with GitHub - Universe 2022 的美食出口停車場
Presented by: Noah Gift GitHub ecosystem is a perfect location to teach once and deploy reproducible education assets, including source code ... ... <看更多>