ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
Open source
24 alternativesHow do Cog and DeepDetect compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Cog | DeepDetect |
|---|---|---|
| What it is | Cog packages machine learning models into containers to support deployment across environments. | DeepDetect provides a deep learning server and command-line interface for Torch and TensorRT. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Not stated |
| Language | English | English |
| Alternatives |
Sites similar to both Cog and DeepDetect.
ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.
DJL is a Java framework for running deep learning models across different engines.
Train and run models with OneFlow, a scalable deep learning framework for distributed machine learning workloads.
ModelDB tracks machine learning model versions, metadata, and experiments.
The Hydrosphere repository describes an MLOps platform for machine learning operations.
Apache SINGA supports distributed deep learning through a system and library for model training.