QKeras provides quantization tools for deep learning with TensorFlow Keras.
Open source
24 alternativesfuku-ml
vsAwesome Tensor Compilers
fuku-ml vs Awesome Tensor Compilers
How do fuku-ml and Awesome Tensor Compilers compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | fuku-ml | Awesome Tensor Compilers |
|---|---|---|
| What it is | 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. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both fuku-ml and Awesome Tensor Compilers.
The linfa project provides a machine learning framework written in Rust.
Open source
24 alternatives
PaddlePaddle provides a deep learning framework for training models across devices and platforms.
Open source
24 alternativesMosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.
Open source
24 alternatives
The MegEngine framework supports deep learning and automatic differentiation, according to its repository description.
Open source
24 alternatives
FATE supports federated learning through an industrial grade framework.
Open source
24 alternatives