This is the Windows app named NVIDIA Merlin whose latest release can be downloaded as v23.09.00.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named NVIDIA Merlin 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
NVIDIA Merlin
DESCRIPTION
NVIDIA Merlin is an open-source library that accelerates recommender systems on NVIDIA GPUs. The library enables data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale. Merlin includes tools to address common feature engineering, training, and inference challenges. Each stage of the Merlin pipeline is optimized to support hundreds of terabytes of data, which is all accessible through easy-to-use APIs. For more information, see NVIDIA Merlin on the NVIDIA developer website. Transform data (ETL) for preprocessing and engineering features. Accelerate your existing training pipelines in TensorFlow, PyTorch, or FastAI by leveraging optimized, custom-built data loaders. Scale large deep learning recommender models by distributing large embedding tables that exceed available GPU and CPU memory. Deploy data transformations and trained models to production with only a few lines of code.
Features
- Transform data (ETL) for preprocessing and engineering features
- Accelerate your existing training pipelines in TensorFlow, PyTorch, or FastAI by leveraging optimized, custom-built data loaders
- Scale large deep learning recommender models by distributing large embedding tables that exceed available GPU and CPU memory
- Deploy data transformations and trained models to production with only a few lines of code
- NVTabular is a feature engineering and preprocessing library for tabular data
- HugeCTR is a GPU-accelerated training framework that can scale large deep learning recommendation models
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/nvidia-merlin.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
