ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
Open source
24 alternativesHow do torchvision and TFServing compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | torchvision | TFServing |
|---|---|---|
| What it is | Torchvision provides datasets, transforms, and models for computer vision with PyTorch. | Flexible, high-performance serving system for machine learning models. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both torchvision and TFServing.
ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
Cog packages machine learning models into containers to support deployment across environments.
DJL is a Java framework for running deep learning models across different engines.
Merlin supports machine learning model management, deployment, and serving in Kubernetes environments.
ModelDB tracks machine learning model versions, metadata, and experiments.
PyTorch Ignite provides a high level library for flexibly training and evaluating neural networks.