Alternatives and similar repositories for mlops-template

Users that are interested in mlops-template are comparing it to the libraries listed below

• noahgift / Python-MLOps-Cookbook
  This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
  ☆420Updated 10 months ago
• fmind / cookiecutter-mlops-package
  Start building and deploying Python packages and Docker images for MLOps tasks.
  ☆425Updated 8 months ago
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆189Updated this week
• MLOps-Courses / mlops-coding-course
  Learn how to create, develop, and maintain a state-of-the-art MLOps code base
  ☆609Updated 2 months 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.
  ☆134Updated 2 years ago
• evidentlyai / ml_observability_course
  Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in productio…
  ☆99Updated last year
• MG-Cafe / MLOps_Workshop
  Azure MLOps
  ☆150Updated last year
• marvelousmlops / mlops_maturity_assessment
  MLOps maturity assessment
  ☆61Updated 2 years ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆116Updated 2 years ago
• paiml / practical-mlops-book
  [Book-2021] Practical MLOps O'Reilly Book
  ☆896Updated 10 months ago
• marvelousmlops / mlops-roadmap-2024
  ☆364Updated last year
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated this week
• manuelgilm / mlflow_for_ml_dev
  Repository with code examples of mlflow
  ☆225Updated 2 months ago
• logicalclocks / hopsworks-tutorials
  Tutorials for the Hopsworks Platform
  ☆307Updated last month
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated this week
• PacktPublishing / Machine-Learning-Engineering-with-Python-Second-Edition
  ☆252Updated this week
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆169Updated last year
• Paulescu / bytewax-hopsworks-example
  Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
  ☆145Updated 2 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated this week
• wandb / edu
  Educational materials on deep learning by Weights & Biases
  ☆643Updated 10 months ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆131Updated 4 years ago
• dmatrix / mlflow-workshop-part-1
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …
  ☆241Updated 5 years ago
• FourthBrain / software-dev-for-mlops-101
  Set up your local environment to do some real Machine Learning Operations software development, just like pro MLOps practitioners.
  ☆241Updated 2 years ago
• iusztinpaul / energy-forecasting
  🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, buildin…
  ☆952Updated last year
• alfredodeza / huggingface-onnx
  Example notebook to work with ONNX using Hugging Face libraries
  ☆33Updated 2 years ago
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆149Updated 3 years ago
• mlrun / demo-llm-tuning
  Demo MLRun project for LLM Tuning and serving pipelines
  ☆45Updated 5 months ago
• Paulescu / real-time-data-pipelines-in-python
  Real-time Feature Pipelines in Python ⚡
  ☆283Updated last year
• zenml-io / zenml-projects
  A repository for all ZenML projects that are specific production use-cases.
  ☆285Updated 2 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 3 years ago