Alternatives and similar repositories for serverless-ml-course

Users that are interested in serverless-ml-course are comparing it to the libraries listed below

• mlops-guide / mlops-guide.github.io
  🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
  ☆321Updated last year
• iusztinpaul / energy-forecasting
  🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, buildin…
  ☆963Updated last year
• MLOps-Courses / mlops-coding-course
  Learn how to create, develop, and maintain a state-of-the-art MLOps code base
  ☆633Updated 2 weeks ago
• SkafteNicki / dtu_mlops
  Exercises and supplementary material for the machine learning operations course at DTU.
  ☆776Updated last week
• logicalclocks / hopsworks-tutorials
  Tutorials for the Hopsworks Platform
  ☆314Updated last month
• marvelousmlops / mlops-roadmap-2024
  ☆370Updated 2 years ago
• Pythondeveloper6 / Awesome-MLOPS
  All the available resources to master MLOPS from scratch
  ☆363Updated last year
• paiml / practical-mlops-book
  [Book-2021] Practical MLOps O'Reilly Book
  ☆928Updated last year
• DataTalksClub / project-of-the-week
  Learn by doing: DIY project groups at DataTalks.Club
  ☆415Updated last year
• fmind / cookiecutter-mlops-package
  Start building and deploying Python packages and Docker images for MLOps tasks.
  ☆431Updated 2 weeks ago
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆235Updated 3 years ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆135Updated 2 years ago
• zenml-io / zenml-projects
  A repository for all ZenML projects that are specific production use-cases.
  ☆303Updated 2 months ago
• Paulescu / hands-on-train-and-deploy-ml
  Train and Deploy an ML REST API to predict crypto prices, in 10 steps
  ☆875Updated last year
• 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…
  ☆185Updated 3 years ago
• Paulescu / real-time-data-pipelines-in-python
  Real-time Feature Pipelines in Python ⚡
  ☆283Updated last year
• GokuMohandas / mlops-course
  Learn how to design, develop, deploy and iterate on production-grade ML applications.
  ☆3,291Updated last year
• jacopotagliabue / MLSys-NYU-2022
  Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
  ☆544Updated 3 years ago
• zenml-io / zenbytes
  A simple guide to MLOps through ZenML and its various integrations.
  ☆188Updated 2 years ago
• manuelgilm / mlflow_for_ml_dev
  Repository with code examples of mlflow
  ☆232Updated 5 months ago
• fmind / mlops-python-package
  Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
  ☆1,390Updated 2 weeks ago
• MatejFrnka / ScalableML-project
  ☆108Updated 2 years ago
• DataTalksClub / open-source-llm-zoomcamp
  A free mini-course about Open-Source LLMs
  ☆181Updated 8 months ago
• Paulescu / bytewax-hopsworks-example
  Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
  ☆146Updated 2 years ago
• DataTalksClub / awesome-data-podcasts
  A list of awesome data podcasts
  ☆386Updated 2 years ago
• break-into-data / break-into-data-handbook
  Breaking Into Data Handbook
  ☆366Updated last year
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆115Updated 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.
  ☆170Updated last year
• fuzzylabs / awesome-open-mlops
  The Fuzzy Labs guide to the universe of open source MLOps
  ☆476Updated 8 months ago
• youssefHosni / Efficient-Python-for-Data-Scientists-Book
  Official Repo for the Efficient Python for Data Scientists Book. You can buy the book from here:
  ☆581Updated last year