ing-bank / spark-matcherLinks
Record matching and entity resolution at scale in Spark
β35Updated last year
Alternatives and similar repositories for spark-matcher
Users that are interested in spark-matcher 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
- real-time data + ML pipelineβ54Updated this week
- ForML - A development framework and MLOps platform for the lifecycle management of data science projectsβ106Updated 2 years ago
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbationβ¦β165Updated last month
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for β¦β107Updated 3 years ago
- Anovos - An Open Source Library for Scalable feature engineering Using Apache-Sparkβ76Updated 2 years ago
- MLOps simplified. One-stop AI delivery platform, all the features you need.β100Updated this week
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withouβ¦β113Updated last year
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ82Updated 3 years ago
- Instant search for and access to many datasets in Pyspark.β34Updated 2 years ago
- Best practices for engineering ML pipelines.β35Updated 3 years ago
- Similarity encoding of dirty categorical variables (strings)β20Updated 6 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python libraryβ51Updated 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
- python library for automated dataset normalizationβ116Updated 2 years ago
- ππ Lets Python do AB testing analysis.β78Updated 4 months ago
- big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.β65Updated 5 years ago
- Listens MLFlow model registry changes and deploy models based on configurationsβ21Updated 2 years ago
- An abstraction layer for parameter tuningβ35Updated 11 months ago
- Demo on how to use Prefect with Dockerβ27Updated 2 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelinesβ54Updated last month
- Buy Till You Die and Customer Lifetime Value statistical models in Python.β117Updated last year
- π¦ Deployment tool for online machine learning modelsβ97Updated 3 years ago
- Example usage of scikit-htsβ57Updated 3 years ago
- Spark implementation of computing Shapley Values using monte-carlo approximationβ76Updated 2 years ago
- Automated Data Science and Machine Learning library to optimize workflow.β104Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard includedβ28Updated 4 years ago
- Convert monolithic Jupyter notebooks π into maintainable Ploomber pipelines. πβ79Updated 11 months ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.β37Updated 4 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.β51Updated 2 years ago