QKeras provides quantization tools for deep learning with TensorFlow Keras.
Open source
24 alternativesHow do burn and BentoML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | burn | BentoML |
|---|---|---|
| What it is | Burn provides a flexible, efficient, and portable tensor library for building deep learning applications. | BentoML helps build and serve AI apps and models through inference APIs, job queues, and multi-model pipelines. |
| 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 BentoML.
QKeras provides quantization tools for deep learning with TensorFlow Keras.
PaddlePaddle provides a deep learning framework for training models across devices and platforms.
The MegEngine framework supports deep learning and automatic differentiation, according to its repository description.
The fuku-ml project provides a machine learning library described as simple to use.
List of awesome compiler projects and papers for tensor computation and deep learning.