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MADS
A multi-agent framework that allows users to execute a data science pipeline using only two inputs.
Overview
MADS is an initiative developed by AI Flow Solutions that enables users to methodically execute a data science pipeline with only two required inputs: a description of the problem and a CSV file with the data. The MADS framework coordinates a multi-agent system to produce predictions, create a comprehensive analysis report, and train a machine learning model. Future developments will include the integration of reinforcement learning to improve the efficiency of each agent. This project is being built on the Autogen framework.
Data Science
Machine Learning
Automation
Multi-agent system
Open-source
AI framework
Key Features
- Generate an analysis report
- Train a machine learning model
- Generate predictions
- Automatically execute a data science pipeline
Use Cases
- Assisting Data Scientists in Automating Their Tasks
- Offering a Simple Method for Non-Technical Users to Generate Predictions
- Rapid Prototyping of Machine Learning Models
- Enhancing Compliance and Reporting Automation
- Accelerating Business Decision-Making
Details
Category: Data Analysis
Industry: Technology
Pricing Model: Free
Access: Open Source