feifeiwww / 20220726_Databricks_Demo_Transfer_Learning_with_MLflowLinks
We will go hands-on with an image classification demo using transfer learning, while leveraging MLflow to track our model experiments on Databricks
☆7Updated 2 years ago
Alternatives and similar repositories for 20220726_Databricks_Demo_Transfer_Learning_with_MLflow
Users that are interested in 20220726_Databricks_Demo_Transfer_Learning_with_MLflow are comparing it to the libraries listed below
Sorting:
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆94Updated this week
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- A set of examples illustrating some possible use cases for NannyML☆20Updated last year
- Feature engineering package with sklearn like functionality☆54Updated 9 months ago
- MLOps maturity assessment☆60Updated 2 years ago
- ☆81Updated last year
- Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily de…☆16Updated last year
- ☆12Updated last year
- Slides for "Feature engineering for time series forecasting" talk for DataTalks.Club given in August 2022.☆25Updated 2 years ago
- ☆34Updated 4 months ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆147Updated last year
- ☆24Updated 2 months ago
- Example repo to kickstart integration with mlflow recipes.☆44Updated 4 months ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆19Updated 2 years ago
- Source for book "Feature Engineering A-Z"☆144Updated this week
- ☆285Updated 2 years ago
- 6 week-long Python hands-on MLOps Bootcamp following a real-life industry scenario.☆31Updated last month
- summarytools in jupyter notebook☆110Updated 10 months ago
- Cleaning Data for Effective Data Science, published by Packt☆99Updated 2 years ago
- A tutorial for setting a new machine with core data science tools☆293Updated 5 months ago
- How to Interpret SHAP Analyses: A Non-Technical Guide☆56Updated 3 years ago
- Developmental tools to detect data drift☆16Updated last year
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆63Updated last year
- Demo for CI/CD in a machine learning project☆106Updated last year
- It's all in the name☆77Updated last year
- Reference code base for ML Engineering, Manning Publications☆130Updated 3 years ago
- 100 applications built with H2O Wave☆99Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 5 months ago