DJL is a Java framework for running deep learning models across different engines.
Open source
24 alternativesHow do N2D2 and Oneflow compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | N2D2 | Oneflow |
|---|---|---|
| What it is | N2D2 provides an open source CAD framework for deep neural network simulation and application building. | 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 | Linux, Windows | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both N2D2 and Oneflow.
DJL is a Java framework for running deep learning models across different engines.
PaddlePaddle provides a deep learning framework for training models across devices and platforms.
Apache SINGA supports distributed deep learning through a system and library for model training.
Catniff provides JavaScript developers with a Torch-like deep learning framework.
DeepDetect provides a deep learning server and command-line interface for Torch and TensorRT.
The MegEngine framework supports deep learning and automatic differentiation, according to its repository description.