This repository contains a comprehensive framework for managing training jobs, resources, and data synthesis in machine learning projects.
Our training management framework is designed to streamline the process of running machine learning experiments, managing computational resources, and generating synthetic data for training purposes. It provides a robust infrastructure for researchers and data scientists to efficiently conduct their work.
Key features include:
- Job scheduling and management for training runs
- Resource allocation and optimization
- Data synthesis tools for generating high-quality training data
- Integration with popular ML libraries and frameworks
- Monitoring and logging capabilities
To get started with this framework, follow these steps:
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Clone the repository: git clone https://github.com/ConverseCartAI/training-ui.git cd training-ui
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Run the frontend cd frontend npm install npm start
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Copy your .env file to backend directory
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Run the backend cd backend docker-compose up --build
We welcome contributions to improve and expand this framework. Please see our CONTRIBUTING.md file for guidelines on how to contribute.
This project is licensed under the terms specified in the LICENSE file.
If you encounter any issues or have questions, please file an issue on the GitHub issue tracker.