QKeras provides quantization tools for deep learning with TensorFlow Keras.
Open source
24 alternativesHow do Keras and BentoML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Keras | BentoML |
|---|---|---|
| What it is | Keras provides a deep learning API for building and training machine learning models. | 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 | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both Keras 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.
Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.
The linfa project provides a machine learning framework written in Rust.
ModelFox supports training, deployment, and monitoring for machine learning models.
The MegEngine framework supports deep learning and automatic differentiation, according to its repository description.