An open-source ML pipeline development platform
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Updated
Jan 9, 2025 - Python
An open-source ML pipeline development platform
Opt-Out tool to check Copyright reservations in a way that even machines can understand.
A library to accelerate ML and ETL pipeline by connecting all data sources
RFlow - A workflow framework for agile machine learning
From data gathering to model deployment. Complete ML pipeline using Docker, Airflow and Python.
Dicoding Submission MLOps Heart Failure Detection using ML Pipeline, Heroku Deployment and Prometheus Monitoring
Our goal with this ML pipeline template is to create a user friendly utility to drastically speed up the development and implementation of a machine learning model for all sorts of various problems.
The Anonymous Synthesizer for Health Data
A package of utilities for engineering ML pipelines.
Install Airflow using docker
AI-powered tool to turn long videos into short, viral-ready clips. Combines transcription, speaker diarization, scene detection & 9:16 resizing — perfect for creators & smart automation.
Multi Cloud Model Management System for Machine Learning
ML api predict house price wrapped in Docker and deployed to AWS ECS/Fargate | #DE |#ML
A cloud-based deployment and scaling for ML services (Docker, k8s, AWS S3/Lambda, Flask, GitHub Actions)
Repository contains the detail about ML model deployment and building end-to-end ML pipeline for production
A flask api for text-classification with sklearn pipelines.
A versatile Python application using Streamlit for hands-on experience in programming and machine learning. OptiML-Analyzer enables qualitative and quantitative data analysis using various machine learning algorithms through a user-friendly interface.
Create ETL and ML pipelines for disaster response text classification
simple MLOPs demo with kedro..
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