Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for machine learning etl pipeline
etl-pipeline
x
machine-learning
x
12 search results found
Orchest
⭐
3,876
Build data pipelines, the easy way 🛠️
Hamilton
⭐
1,272
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Hamilton
⭐
877
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
Tech.ml.dataset
⭐
616
A Clojure high performance data processing system
Setl
⭐
173
A simple Spark-powered ETL framework that just works 🍺
Prism
⭐
70
Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.
Data Science Regular Bootcamp
⭐
39
Regular practice on Data Science, Machien Learning, Deep Learning, Solving ML Project problem, Analytical Issue. Regular boost up my knowledge. The goal is to help learner with learning resource on Data Science filed.
Data Refinery
⭐
19
Data transformation
Airflowjob
⭐
11
Airflow POC demo : 1) env set up 2) airflow DAG 3) Spark/ML pipeline | #DE
Etl Pipeline Runner
⭐
7
A package to run ETL Pipelines for your datascience projects
Pyemits
⭐
5
Sugar candy for data scientist. Easy manipulation in time-series data analytics works.
Otokuna
⭐
5
A system and web app to discover good deals of rental properties, built and automated on a serverless architecture.
Related Searches
Python Machine Learning (14,099)
Jupyter Notebook Machine Learning (12,247)
Machine Learning Neural Network (4,397)
Machine Learning Tensorflow (4,050)
Machine Learning Natural Language Processing (3,891)
Machine Learning Artificial Intelligence (3,877)
Machine Learning Data Science (3,802)
Machine Learning Pytorch (2,910)
Machine Learning Dataset (2,298)
Machine Learning Computer Vision (1,966)
1-12 of 12 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.