This is the Windows app named Mosec whose latest release can be downloaded as 0.8.1sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Mosec with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS
Ad
Mosec
DESCRIPTION
Mosec is a high-performance and flexible model-serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API.
Features
- Web layer and task coordination built with Rust, which offers blazing speed in addition to efficient CPU utilization powered by async I/O
- User interface purely in Python, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing
- Aggregate requests from different users for batched inference and distribute results back
- Spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads
- Designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems
- Focus on the online serving part, users can pay attention to the model optimization and business logic
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/mosec.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.