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.
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.
Репозиторий направления Production ML, весна 2021
Stop trusting your pipeline. Verify it; visually on a canvas or in Python. Self-hosted platform + Apache-2.0 library.
A library to accelerate ML and ETL pipeline by connecting all data sources
A curated list of awesome open source tools and commercial products that will help you manage machine learning and data-science workflows and pipelines 🚀
2 Lines of code to track ML experiments + EDA + check into Github
A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀
RFlow - A workflow framework for agile machine learning
A complete machine-learning system that predicts AI assistant user satisfaction using behavioral signals such as device, usage category, time features, session metrics, and model metadata. Includes full ML pipeline, SHAP explainability, evaluation suite, and an interactive Streamlit analytics dashboard.
Building Realtime End to End Sales Forecasting ML Pipeline
A customer intelligence engine that predicts subscription probability, models purchase frequency, and computes a unified loyalty risk score. Includes explainability, segment insights, and a scenario simulator, all integrated into an interactive Streamlit dashboard.
From data gathering to model deployment. Complete ML pipeline using Docker, Airflow and Python.
Production-grade MLOps: Model deployment, monitoring, feature stores, and ML pipelines for real-world AI systems.
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.
Advanced ML system for stock market prediction with real-time data and multiple algorithms
AI-powered career assistant with XGBoost ML model (78.14% accuracy) trained on 6K+ resume-job pairs. Features advanced NLP skill extraction, GPT-4 resume enhancement, and intelligent job matching with real-time predictions.
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