Sinabs supports fast training of spiking neural networks with PyTorch and inference on neuromorphic hardware.
Open source
24 alternativesHow do Awesome Tensor Compilers and PyTorch compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Awesome Tensor Compilers | PyTorch |
|---|---|---|
| What it is | List of awesome compiler projects and papers for tensor computation and deep learning. | 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 | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Sites similar to both Awesome Tensor Compilers and PyTorch.
Sinabs supports fast training of spiking neural networks with PyTorch and inference on neuromorphic hardware.
Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.
PyTorch Ignite provides a high level library for flexibly training and evaluating neural networks.