DJL is a Java framework for running deep learning models across different engines.
Open source
24 alternativesHow do burn and Oneflow compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | burn | Oneflow |
|---|---|---|
| What it is | Burn provides a flexible, efficient, and portable tensor library for building deep learning applications. | Train and run models with OneFlow, a scalable deep learning framework for distributed machine learning workloads. |
| 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 burn and Oneflow.
DJL is a Java framework for running deep learning models across different engines.
Flexible, high-performance serving system for machine learning models.
PaddlePaddle provides a deep learning framework for training models across devices and platforms.
Catniff provides JavaScript developers with a Torch-like deep learning framework.
The MegEngine framework supports deep learning and automatic differentiation, according to its repository description.
ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.