In the Crest catalog
BindsNET/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
- Stars
- 1.7K
- Forks
- 350
- Language
- Python
- Last push
- 22d ago
- Last release
- 4mo ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
PyPI · v0.3.4 · AGPL-3.0-only
Spiking neural networks for ML in Python
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install bindsnetPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
Simulation of spiking neural networks (SNNs) using PyTorch.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
<1,>=0<2,>=1<4,>=3<3,>=2<6,>=4.14<4,>=3<1,>=0<2,>=1<2,>=1<3,>=2.6.4<3,>=2.14<1,>=0.29<5,>=4No published news event mentions this package or its repository yet.