whylabs / whylogs-examplesLinks
A collection of WhyLogs examples in various languages
☆48Updated last year
Alternatives and similar repositories for whylogs-examples
Users that are interested in whylogs-examples are comparing it to the libraries listed below
Sorting:
- Protobuf definition for WhyLogs format☆14Updated 3 years ago
- Profile and monitor your ML data pipeline end-to-end☆178Updated 3 years ago
- An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model perf…☆2,723Updated 4 months ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆69Updated 3 weeks ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆254Updated 7 months ago
- mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model t…☆25Updated 3 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- MLOps Lab Example using PyTorch to predict Yelp Reviews☆21Updated 4 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆238Updated 2 years ago
- An abstraction layer for parameter tuning☆35Updated 9 months ago
- MLOps Python Library☆119Updated 3 years ago
- Joining the modern data stack with the modern ML stack☆196Updated 2 years ago
- Capturing model drift and handling its response - Example webinar☆108Updated 5 years ago
- End to end MLRun demos☆92Updated 3 weeks ago
- O'Reilly Katacoda☆56Updated 2 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆207Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated 10 months ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆147Updated last year
- demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions☆50Updated 2 years ago
- Example repo to kickstart integration with mlflow pipelines.☆76Updated 2 years ago
- Generate beautiful, testable documentation with Jupyter Notebooks☆21Updated 2 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆141Updated 7 months ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Slides and notebook for the workshop on building a search system☆22Updated last year
- Machine Learning Projects with Flytekit☆36Updated 2 years ago
- It's all in the name☆77Updated last year
- real-time data + ML pipeline☆54Updated last week
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year