This is the Windows app named Orion whose latest release can be downloaded as v0.5.2-2023-10-19sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Orion 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:
Orion
DESCRIPTION:
Orion is a machine-learning library built for unsupervised time series anomaly detection. Such signals are generated by a wide variety of systems, few examples include telemetry data generated by satellites, signals from wind turbines, and even stock market price tickers. We built this to provide one place where users can find the latest and greatest in machine learning and deep learning world including our own innovations. Abstract away from the users the nitty-gritty about preprocessing, finding the best pipeline, and postprocessing. We want to provide a systematic way to evaluate the latest and greatest machine learning methods via our benchmarking effort. Build time series anomaly detection platforms custom to their workflows through our backend database and rest API. A way for machine learning researchers to contribute in a scaffolded way so their innovations are immediately available to the end users.
Features
- Unsupervised time series anomaly detection (UTSAD)
- Machine learning for UTSAD
- Evaluate the latest and greatest machine learning methods
- The easiest and recommended way to install Orion is using pip
- The library makes use of a number of automated machine learning tools developed under Data to AI Lab at MIT
- Machine learning library built for unsupervised time series anomaly detection
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/orion.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.