nlathia / kettle-cliLinks
π― kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learning
β32Updated 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
Sorting:
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable mannerβ71Updated 3 years ago
- Know your ML Score based on Sculley's paperβ34Updated 6 years ago
- β54Updated 2 years ago
- this repo might get acceptedβ28Updated 4 years ago
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ81Updated 3 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.β37Updated 4 years ago
- Public repository for versioning machine learning dataβ42Updated 3 years ago
- Dockerfiles for images used as part of the Orbyter toolsetβ44Updated last year
- Primrose modeling framework for simple production modelsβ32Updated last year
- Kedro Plugin to support running workflows on Kubeflow Pipelinesβ54Updated 9 months ago
- Tutorial for a new versioning Machine Learning pipelineβ80Updated 3 years ago
- Supporting materials/code examples for my course in data engineering for machine learning.β38Updated 2 years ago
- Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/courβ¦β44Updated last year
- A proof of concept library for generating and running machine learning model testsβ13Updated 4 years ago
- Projects developed by Domino's R&D teamβ76Updated 3 years ago
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.β35Updated 3 years ago
- The fast.ai data ethics courseβ16Updated 2 years ago
- Dockerized ML Cookiecutterβ75Updated 2 years ago
- β26Updated 4 years ago
- This project is created to promote and advocate the use of FOSS machine learning.β46Updated last month
- Instructions for deploying Kubeflow on EKS and minikubeβ15Updated 4 years ago
- A bit of extra usability for sqlalchemy v2.β77Updated last year
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.β102Updated 3 years ago
- Data dependency managerβ22Updated 5 years ago
- Embed categorical variables via neural networks.β59Updated 2 years ago
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.β80Updated last year
- Build your feature store with macros right within your dbt repositoryβ38Updated 2 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 tβ¦β25Updated 3 years ago
- The Data Linter identifies potential issues (lints) in your ML training data.β88Updated 7 years ago
- hooqu is a library built on top of Pandas-like Dataframes for defining "unit tests for data". This is a spiritual port of Apache Deequ toβ¦β29Updated 6 months ago