Paulescu / build-and-deploy-real-time-feature-pipelineLinks
Develop and deploy a real-time feature pipeline in Python, using Bytewax š and Hopsworks Feature Store.
ā134Updated 2 years ago
Alternatives and similar repositories for build-and-deploy-real-time-feature-pipeline
Users that are interested in build-and-deploy-real-time-feature-pipeline are comparing it to the libraries listed below
Sorting:
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlitā129Updated last year
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)ā145Updated 2 years ago
- Tutorials for the Hopsworks Platformā303Updated 3 weeks ago
- ā110Updated 2 years ago
- Real-time Feature Pipelines in Python ā”ā281Updated last year
- A repository for all ZenML projects that are specific production use-cases.ā276Updated 2 weeks ago
- Project bike sharing predictorā79Updated last month
- Demo for CI/CD in a machine learning projectā112Updated 2 years ago
- Incremental ML learning in the real-worldā69Updated 6 months ago
- Practical guide to build end-to-end machine learning pipeline and deploy your model in production,ā72Updated 2 years ago
- LLM Engineering CrashCourseā101Updated last year
- MLOps maturity assessmentā61Updated 2 years ago
- Machine Learning Engineering with Pythonā185Updated last week
- How to serve ML predictions 100x fasterā59Updated last year
- Repository with code examples of mlflowā221Updated 2 weeks ago
- Build and deploy a REST API for taxi trip data šā72Updated 10 months ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.ā168Updated 11 months ago
- Curated collection of awesome resources and tutorials for mastering Data Science, Machine Learning, Deep Learning, and Python.ā51Updated 11 months ago
- Machine Learning for Imbalanced Data, published by Packtā277Updated last week
- Scalable Machine Learning and Deep Learning, Final Project, 2023/2024ā244Updated 10 months ago
- A simple guide to MLOps through ZenML and its various integrations.ā187Updated last year
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.ā226Updated 3 years ago
- ā24Updated 2 years ago
- Learn how to create, develop, and maintain a state-of-the-art MLOps code baseā582Updated this week
- An end-to-end project on customer segmentationā83Updated 2 years ago
- Code files for advanced LLM Courseā214Updated last year
- 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 sā¦ā183Updated 3 years ago
- Train and Deploy an ML REST API to predict crypto prices, in 10 stepsā859Updated last year
- LLM-powered RAG Question Answering Slack bot for DataTalksClub Zoomcampsā57Updated this week
- This is your friendly fitness assistant, which is a RAG applications built as a part of LLM Zoomcampā74Updated 11 months ago