Sinabs supports fast training of spiking neural networks with PyTorch and inference on neuromorphic hardware.
Open source
24 alternativesHow do MLX and PyTorch compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | MLX | PyTorch |
|---|---|---|
| What it is | MLX provides an array computing framework designed for Apple silicon devices. | Tensors and Dynamic neural networks in Python with strong GPU acceleration. |
| 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 |
Sites similar to both MLX and PyTorch.
Sinabs supports fast training of spiking neural networks with PyTorch and inference on neuromorphic hardware.
PyTorch Ignite provides a high level library for flexibly training and evaluating neural networks.
Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.
The cONNXr project provides a pure C runtime for ONNX models intended for embedded devices.