Inferno is an extensible library for simulating spiking neural networks. Built on top of PyTorch, it is designed with machine learning practitioners in mind. This project is still an early release and features may be subject to change.
Installation
At this time, installation is only supported via pip. Future support for installation with conda is planned.
With PyTorch (CPU Only)
pip install inferno-ai[torch]
Installation with the "torch" flag will install PyTorch 2.4.1 and the corresponding version of TorchVision.
Without PyTorch
pip install inferno-ai
Note: Inferno still requires PyTorch and a version of it must be installed. PyTorch will need to be installed separately if CUDA support is required. See the instructions for installing PyTorch for details.
Getting Started
For an example of walking through building, training, and evaluating a spiking neural network, see the quickstart example. A comprehensive documentation of the classes and functions provided by Inferno are available here.
1 maintainer
Metadata
1 maintainer
Release files for inferno-ai 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| inferno_ai-0.0.5.tar.gz | 128.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| inferno_ai-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 303.2 kB
Release files / inferno_ai-0.0.5.tar.gz
| Download URL | inferno_ai-0.0.5.tar.gz |
|---|---|
| Size | 128.3 kB |
| Tags | Source |
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twine/5.1.1 CPython/3.11.9
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Release files / inferno_ai-0.0.5-py3-none-any.whl
| Download URL | inferno_ai-0.0.5-py3-none-any.whl |
|---|---|
| Size | 174.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
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