Alternatives and similar repositories for ml_observability_course

Users that are interested in ml_observability_course are comparing it to the libraries listed below

• fmind / cookiecutter-mlops-package
  Start building and deploying Python packages and Docker images for MLOps tasks.
  ☆421Updated 6 months ago
• marvelousmlops / mlops_maturity_assessment
  MLOps maturity assessment
  ☆61Updated 2 years ago
• MLOps-Courses / mlops-coding-course
  Learn how to create, develop, and maintain a state-of-the-art MLOps code base
  ☆585Updated last week
• alexeygrigorev / fitness-assistant
  This is your friendly fitness assistant, which is a RAG applications built as a part of LLM Zoomcamp
  ☆75Updated last year
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆188Updated last week
• zenml-io / zenml-projects
  A repository for all ZenML projects that are specific production use-cases.
  ☆276Updated 3 weeks ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆168Updated last year
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆111Updated 2 years ago
• Paulescu / incremental-ml-training-and-serving
  Incremental ML learning in the real-world
  ☆69Updated 6 months ago
• aaalexlit / faq-slack-bot
  LLM-powered RAG Question Answering Slack bot for DataTalksClub Zoomcamps
  ☆57Updated last week
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated last week
• nogibjj / mlops-template
  mlops template
  ☆301Updated 8 months ago
• alexeygrigorev / llm-rag-workshop
  Chat with your own data - LLM+RAG workshop
  ☆199Updated 9 months ago
• jeremyarancio / reservation_cancellation_prediction
  Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow
  ☆63Updated last year
• manuelgilm / mlflow_for_ml_dev
  Repository with code examples of mlflow
  ☆221Updated 3 weeks 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
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆132Updated 4 years ago
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆129Updated last year
• awesome-mlops / awesome-ml-monitoring
  A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…
  ☆86Updated last year
• GokuMohandas / data-engineering
  Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.
  ☆226Updated 3 years ago
• amesar / mlflow-examples
  Basic and advanced MLflow examples for many ML flavors
  ☆232Updated 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
• NannyML / examples
  A set of examples illustrating some possible use cases for NannyML
  ☆20Updated last year
• logicalclocks / hopsworks-tutorials
  Tutorials for the Hopsworks Platform
  ☆303Updated 3 weeks ago
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated last week
• zenml-io / zenbytes
  A simple guide to MLOps through ZenML and its various integrations.
  ☆187Updated last year
• Paulescu / real-time-data-pipelines-in-python
  Real-time Feature Pipelines in Python ⚡
  ☆281Updated last year
• Paulescu / ml-rest-api-caching
  How to serve ML predictions 100x faster
  ☆59Updated last year
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆255Updated 11 months 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 …
  ☆240Updated 5 years ago