mtpatter / mlflow-tutorial
Fully reproducible, Dockerized, step-by-step, tutorial on training and serving a simple sklearn classifier model using mlflow. Detailed blog post published on Towards Data Science.
☆17Updated 5 months ago
Alternatives and similar repositories for mlflow-tutorial:
Users that are interested in mlflow-tutorial are comparing it to the libraries listed below
- A repository for all ZenML projects that are specific production use-cases.☆238Updated last week
- ☆38Updated 2 years ago
- Learn how to create, develop, and maintain a state-of-the-art MLOps code base☆464Updated 2 weeks ago
- Kickstart your MLOps initiative with a flexible, robust, and productive Python package.☆1,122Updated 2 months ago
- Start building and deploying Python packages and Docker images for MLOps tasks.☆383Updated 2 months ago
- Template for a data science project☆703Updated 2 months ago
- 🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, buildin…☆895Updated 10 months ago
- MLflow related work☆38Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆253Updated 4 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆856Updated last year
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆61Updated last year
- Enrolled in DataTalks Zoomcamp https://github.com/DataTalksClub/mlops-zoomcamp☆21Updated 2 years ago
- This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.☆206Updated 2 years ago
- MLOps maturity assessment☆60Updated last year
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆131Updated last year
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆461Updated last year
- Basic and advanced MLflow examples for many ML flavors☆218Updated 6 months ago
- ☆48Updated 6 months ago
- Exercises and supplementary material for the machine learning operations course at DTU.☆651Updated this week
- A simple guide to MLOps through ZenML and its various integrations.☆186Updated last year
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- Compilation of high-profile real-world examples of failed machine learning projects☆724Updated 8 months ago
- Classifies kitchen stuff items into 6 categories: cups, glasses, plates, spoons, forks and knives☆19Updated 2 years ago
- ☆301Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆455Updated 7 months ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆234Updated last year
- Learn by doing: DIY project groups at DataTalks.Club☆396Updated 8 months ago
- Joining the modern data stack with the modern ML stack☆195Updated last year
- 🐍💨 FastAPI Rocket Boilerplate to build an API based in Python with its most modern technologies!☆468Updated 9 months ago
- An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI☆365Updated 9 months ago