Spratiher9 / SparkDatasetLinks
Instant search for and access to many datasets in Pyspark.
β34Updated 2 years ago
Alternatives and similar repositories for SparkDataset
Users that are interested in SparkDataset are comparing it to the libraries listed below
Sorting:
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API πβ53Updated 3 years ago
- β16Updated 4 years ago
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ82Updated 3 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.β103Updated last month
- Projects developed by Domino's R&D teamβ77Updated 3 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projectsβ106Updated 2 years ago
- β16Updated 4 years ago
- real-time data + ML pipelineβ54Updated 2 weeks ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.β65Updated 8 months ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcomeβ¦β121Updated last year
- β18Updated 3 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.β37Updated 4 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for β¦β108Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.β40Updated 8 months ago
- An intelligent, flexible grammar of machine learning.β83Updated 4 years ago
- β21Updated 2 years ago
- Metadata store for Production MLβ88Updated 3 years ago
- Best practices for engineering ML pipelines.β36Updated 3 years ago
- This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Giβ¦β15Updated 4 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four pβ¦β35Updated 5 years ago
- Parameterising Simulated Annealing for the Travelling Salesman Problemβ59Updated 2 months ago
- β19Updated 4 years ago
- A comprehensive tool for linguistic analysis of communitiesβ49Updated 4 years ago
- Demo on how to use Prefect with Dockerβ27Updated 3 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning systemβ77Updated 2 years ago
- β Priceloop Engineering Conventions for Scala, Python, Git Workflow etcβ100Updated 2 years ago
- PySpark Tutorial for Beginners on Google Colab: Hands-On Guideβ17Updated 5 years ago
- Convert monolithic Jupyter notebooks π into maintainable Ploomber pipelines. πβ79Updated last year
- A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics β¦β20Updated 3 years ago
- β12Updated 5 years ago