data-processing-pipelines

Visual AI development framework for training and inference of ML models, scaling pipelines, and automating workflows with Python.⭐ Leave a star to support us!

workflow data-science machine-learning framework research ai ml pytorch data-processing data-processing-pipelines

UpdatedApr 11, 2025
Python

kaburia /filter-stations

Star17

Making it easier to navigate and clean TAHMO weather station data for ML development

pypi-package api-development data-processing-pipelines

UpdatedSep 7, 2024
Python

tamasgal /thepipe

Star14

A simplistic, general purpose pipeline framework.

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UpdatedJul 21, 2022
Python

Plato-solutions /artifician

Star10

Artifician is an event-driven framework designed to simplify and accelerate the process of preparing datasets for Artificial Intelligence models.

python machine-learning artificial-intelligence data-processing dataset-preparation data-processing-pipelines

UpdatedJan 30, 2024
Python

chandnii7 /Big-Data-Processing-Pipeline

Star3

A pipeline that consumes twitter data to extract meaningful insights about a variety of topics using the following technologies: twitter API, Kafka, MongoDB, and Tableau.

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UpdatedAug 2, 2021
Python

99sbr /Predictive-Customer-Analytics

Star3

Understanding the customer life cycle Acquiring customer data Applying big data concepts to your customer relationships Finding high propensity prospects Upselling by identifying related products and interests Generating customer loyalty by discovering response patterns Predicting customer lifetime value (CLV) Identifying dissatisfied customers …

customer-lifetime-value customer-life-cycle data-processing-pipelines

UpdatedOct 3, 2020
Jupyter Notebook

lhotanok /data-engineering

Star1

Homework assignments for MFF UK course NDBI046 - Introduction to Data Engineering

rdf provenance data-engineering data-processing dcat-ap apache-airflow data-cube skos-rdf airflow-dags data-processing-pipelines

UpdatedMay 23, 2023
TypeScript

AIoT-Group-UoP /crossai

Star1

An open-source Python library for processing and developing End-to-End AI pipelines for Time Series Analysis

open-source machine-learning deep-learning digital-signal-processing machine-learning-pipelines data-processing-pipelines

UpdatedFeb 1, 2024
Jupyter Notebook

Lucky-akash321 /Resume-Application-Tracker-System-ATS-using-Gemini-Pro-Vision

Star1

The Resume Application Tracking System uses Google Gemini Pro Vision to automatically parse, analyze, and categorize resumes for efficient recruitment. It integrates AI-driven vision capabilities to enhance resume processing and candidate selection.

python machine-learning natural-language-processing data-visualization data-processing-pipelines ai-based-resume-parsing google-gemini-pro-vision automated-candidate-categorization cloud-based-solutions

UpdatedFeb 13, 2025
Python

shuq007 /datascience-notebooks

Star1

Notebooks from finance, general practice and Jovian courses on data analysis, ML and DL

finance data-science data artificial-intelligence trading-strategies data-processing data-processing-pipelines

UpdatedMar 1, 2024
Jupyter Notebook

mehanix /dhrw

Star0

🎢 IaaS visual editor to create & deploy data processing pipelines - python, rmq, react, meteorjs

data-science rabbitmq docker-compose data-visualization data-engineering data-analysis help-wanted data-processing data-pipelines computational-graphs data-pipeline data-processing-system good-first-issue react-flow data-processing-pipelines meteorjs-application computational-graph data-processing-and-analysis

UpdatedJan 28, 2025
JavaScript

adarshnitt /30-Day-of-ML

Star0

Dataset

machine-learning pipelining correlation-coefficient practice-machine-learning data-processing-pipelines 30-day-of-ml

UpdatedJan 13, 2022
Jupyter Notebook

SayamAlt /Bank-Customer-Churn-Prediction-using-PySpark

Star0

Successfully established a machine learning model using PySpark which can accurately classify whether a bank customer will churn or not up to an accuracy of more than 86% on the test set.

machine-learning apache-spark cross-validation data-visualization pyspark classification feature-engineering hyperparameter-tuning binary-classification feature-transformation apache-spark-cluster spark-ml azure-databricks data-processing-pipelines model-training-and-evaluation data-exploration-and-preprocessing