Cascade supports MLOps workflows for smaller projects without a full platform.
Open source
24 alternativestfdeploy
vsqkeras
tfdeploy vs qkeras
How do tfdeploy and qkeras compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | tfdeploy | qkeras |
|---|---|---|
| What it is | tfdeploy evaluates TensorFlow graphs and exports them to run with NumPy in environments without TensorFlow. | QKeras provides quantization tools for deep learning with TensorFlow Keras. |
| 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 |
Other options to consider
Sites similar to both tfdeploy and qkeras.
PyTorch Ignite provides a high level library for flexibly training and evaluating neural networks.
Open source
24 alternatives
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 alternatives
FATE supports federated learning through an industrial grade framework.
Open source
24 alternatives
MLX provides an array computing framework designed for Apple silicon devices.
Open source
24 alternatives