QKeras provides quantization tools for deep learning with TensorFlow Keras.
Open source
24 alternativesHow do burn and PaddlePaddle compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | burn | PaddlePaddle |
|---|---|---|
| What it is | Burn provides a flexible, efficient, and portable tensor library for building deep learning applications. | PaddlePaddle provides a deep learning framework for training models across devices and platforms. |
| 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 PaddlePaddle.
QKeras provides quantization tools for deep learning with TensorFlow Keras.
The MegEngine framework supports deep learning and automatic differentiation, according to its repository description.
Train and run models with OneFlow, a scalable deep learning framework for distributed machine learning workloads.
Catniff provides JavaScript developers with a Torch-like deep learning framework.
DJL is a Java framework for running deep learning models across different engines.
The fuku-ml project provides a machine learning library described as simple to use.