nlathia / kettle-cli
🎯 kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learning
☆32Updated 2 years ago
Alternatives and similar repositories for kettle-cli:
Users that are interested in kettle-cli are comparing it to the libraries listed below
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 3 years ago
- ☆54Updated 2 years ago
- Projects developed by Domino's R&D team☆76Updated 2 years ago
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.☆35Updated 3 years 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
- this repo might get accepted☆29Updated 4 years ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Dockerized ML Cookiecutter☆71Updated 2 years ago
- ☆26Updated 4 years ago
- Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/cour…☆41Updated last year
- Listens MLFlow model registry changes and deploy models based on configurations☆21Updated last year
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.☆30Updated 3 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated 2 years ago
- Code accompanying the "Debugging machine learning in production" talk☆29Updated 2 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆102Updated 3 years ago
- 🚕 Self-contained demo using Redpanda, Materialize, River, Redis, and Streamlit to predict taxi trip durations☆47Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆81Updated 3 years ago
- Know your ML Score based on Sculley's paper☆34Updated 5 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆53Updated 5 months ago
- A repository that showcases how you can use ZenML with Git☆69Updated 6 months ago
- The fast.ai data ethics course☆15Updated 2 years ago
- Public repository for versioning machine learning data☆42Updated 3 years ago
- Tutorial for a new versioning Machine Learning pipeline☆81Updated 3 years ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆75Updated last year
- Dockerfiles for images used as part of the Orbyter toolset☆44Updated 8 months ago
- Concept drift monitoring for HA model servers.☆101Updated last year
- Supporting materials/code examples for my course in data engineering for machine learning.☆38Updated 2 years ago
- A proof of concept library for generating and running machine learning model tests☆13Updated 4 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆145Updated 10 months ago