| Name | Version | Summary | date |
| norse |
1.1.0 |
A library for deep learning with spiking neural networks |
2024-03-18 22:39:51 |
| sinabs-exodus |
1.2.1 |
Efficient training and inference on GPU for sinabs spiking neural network simulator. |
2024-03-14 11:41:54 |
| sinabs |
2.0.0 |
SynSense Spiking Neural Network simulator for deep neural networks (DNNs). |
2024-03-14 11:08:34 |
| VPRTempo |
1.1.5 |
VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition |
2024-01-02 02:37:11 |
| lava-optimization |
0.4.0 |
A library of solvers that leverage neuromorphic hardware for constrained optimization. Lava-Optimization is part of Lava Framework. Lava-optimization is part of Lava Framework |
2023-11-15 07:03:02 |
| lava-dl |
0.5.0 |
A library of deep learning tools, which consists of lava.lib.dl.slayer and lava.lib.dl.netx for training and deployment of event-based deep neural networks on traditional as well as neuromorphic backends. Lava-DL is part of Lava Framework |
2023-11-15 06:37:30 |
| lava-dnf |
0.2.0 |
A library that provides processes and other software infrastructure to build architectures composed of Dynamic Neural Fields (DNF). |
2023-11-15 05:58:34 |
| lava-nc |
0.9.0 |
A Software Framework for Neuromorphic Computing |
2023-11-15 05:14:15 |
| spikingtorch |
0.1.1 |
Inference and backprop training of spiking neural networks in Pytorch |
2023-06-10 01:44:49 |
| hnn |
0.0.3.5 |
A programming framework based on PyTorch for hybrid neural networks with automatic quantization |
2023-04-02 08:25:29 |
| spikelearn |
0.1.1 |
Spiking neural networks for AI workflows and neuromorphic computing |
2023-01-15 01:26:11 |