neptune-ai / examples
📝 Examples of how to use Neptune for different use cases and with various MLOps tools
☆85Updated 3 weeks ago
Alternatives and similar repositories for examples
Users that are interested in examples are comparing it to the libraries listed below
Sorting:
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Official repository for the book Time Series Forecasting with Foundation Models☆22Updated last month
- My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeratio…☆39Updated 3 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated last year
- ☆23Updated 2 years ago
- Demo for CI/CD in a machine learning project☆105Updated last year
- Examples of using Evidently to evaluate, test and monitor ML models.☆23Updated this week
- Example repo to kickstart integration with mlflow recipes.☆44Updated 2 months ago
- This repository will take you through creating a FastAPI StableDiffusion app (including Dockerfile) all the way to adding a new feature u…☆38Updated 2 years ago
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆130Updated last year
- Code samples for the Effective Data Science Infrastructure book☆115Updated last year
- Demo on how to use Prefect 2 in an ML project☆41Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆86Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 4 months ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆35Updated last year
- MLOps stack example using Airflow, MLflow and other popular tools.☆44Updated 2 years ago
- It's all in the name☆77Updated last year
- 📚 Jupyter Notebooks extension for versioning, managing and sharing notebook checkpoints in your machine learning and data science projec…☆34Updated last year
- sktime - python toolbox for time series: pipelines and transformers☆24Updated 2 years ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Example code and notebooks related to mlflow, llmops, etc.☆43Updated 10 months ago
- Get started DVC project☆54Updated 10 months ago
- Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in productio…☆84Updated last year
- Create a local dashboard to visualize and filter your GitHub feed☆29Updated 2 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆17Updated 2 years ago
- ☆21Updated last year
- Example machine learning pipeline with MLflow and Hydra☆88Updated 2 years ago