SkafteNicki / dtu_mlops

Related projects ⓘ

Alternatives and complementary repositories for dtu_mlops

• mlops-guide / mlops-guide.github.io
  🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
  ☆253Updated 8 months ago
• featurestoreorg / serverless-ml-course
  Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
  ☆538Updated last month
• fmind / mlops-python-package
  Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
  ☆658Updated 3 months ago
• MLOps-Courses / mlops-coding-course
  Learn how to create, develop, and maintain a state-of-the-art MLOps code base
  ☆298Updated 3 months ago
• Pythondeveloper6 / Awesome-MLOPS
  All the available resources to master MLOPS from scratch
  ☆248Updated 6 months ago
• marvelousmlops / mlops-roadmap-2024
  ☆280Updated 10 months ago
• iusztinpaul / energy-forecasting
  🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, buildin…
  ☆874Updated 7 months ago
• GokuMohandas / mlops-course
  Learn how to design, develop, deploy and iterate on production-grade ML applications.
  ☆2,970Updated 3 months ago
• khuyentran1401 / data-science-template
  Template for a data science project
  ☆693Updated last month
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆455Updated 10 months ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆383Updated 2 years ago
• paiml / practical-mlops-book
  [Book-2021] Practical MLOps O'Reilly Book
  ☆718Updated 5 months ago
• kennethleungty / MLOps-Specialization-Notes
  Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
  ☆350Updated last year
• youssefHosni / Practical-Machine-Learning
  Practical machine learning notebook & articles covers the machine learning end to end life cycle.
  ☆919Updated 11 months ago
• jacopotagliabue / MLSys-NYU-2022
  Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
  ☆368Updated last year
• DataTalksClub / project-of-the-week
  Learn by doing: DIY project groups at DataTalks.Club
  ☆379Updated 5 months ago
• Paulescu / hands-on-train-and-deploy-ml
  Train and Deploy an ML REST API to predict crypto prices, in 10 steps
  ☆761Updated 5 months ago
• trojrobert / MLOps_roadmap_and_curriculum
  Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…
  ☆184Updated 2 years ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆165Updated 2 months ago
• The-AI-Summer / Deep-Learning-In-Production
  Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
  ☆1,111Updated last year
• fmind / cookiecutter-mlops-package
  Start building and deploying Python packages and Docker images for MLOps tasks.
  ☆337Updated 3 months ago
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆248Updated last month
• Paulescu / hands-on-rl
  Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽
  ☆1,072Updated 8 months ago
• youssefHosni / Efficient-Python-for-Data-Scientists
  Writing clean and optimized Python code
  ☆535Updated 2 months ago
• zenml-io / zenbytes
  A simple guide to MLOps through ZenML and its various integrations.
  ☆183Updated 9 months ago
• jacopotagliabue / you-dont-need-a-bigger-boat
  An end-to-end implementation of intent prediction with Metaflow and other cool tools
  ☆847Updated last year
• leehanchung / awesome-full-stack-machine-learning-courses
  Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
  ☆433Updated last year
• fuzzylabs / awesome-open-mlops
  The Fuzzy Labs guide to the universe of open source MLOps
  ☆449Updated 4 months ago
• kelvins / awesome-mlops
  A curated list of awesome MLOps tools
  ☆4,125Updated last month
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆125Updated last year