PaddlePaddle provides a deep learning framework for training models across devices and platforms.
Open source
24 alternativesHow do deepjavalibrary/djl and MegEngine compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | deepjavalibrary/djl | MegEngine |
|---|---|---|
| What it is | DJL is a Java framework for running deep learning models across different engines. | The MegEngine framework supports deep learning and automatic differentiation, according to its repository description. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Android | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both deepjavalibrary/djl and MegEngine.
PaddlePaddle provides a deep learning framework for training models across devices and platforms.
QKeras provides quantization tools for deep learning with TensorFlow Keras.
The linfa project provides a machine learning framework written in Rust.
Train and run models with OneFlow, a scalable deep learning framework for distributed machine learning workloads.
FATE supports federated learning through an industrial grade framework.
The Hydrosphere repository describes an MLOps platform for machine learning operations.