rockpool
SNN framework
A Python library for building and deploying signal processing applications with spiking neural networks on various hardware platforms.
A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
55 stars
4 watching
13 forks
Language: Python
last commit: 11 months ago
Linked from 1 awesome list
deploymentjaxmachine-learningneuromorphicpytorchsnn
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
| synsense/sinabs | A deep learning library for training and deploying spiking neural networks using PyTorch. | 83 |
 norse/norse | Deep learning framework for spiking neural networks | 685 |
 bindsnet/bindsnet | A software package for simulating spiking neural networks using PyTorch. | 1,517 |
 jeshraghian/snntorch | A Python package for training spiking neural networks with gradient-based learning | 1,383 |
 kmheckel/spyx | A JAX-based library for training and utilizing spiking neural networks | 104 |
 basbuller/pysnn | A framework for building and simulating efficient spiking neural networks on GPU | 220 |
 taolei87/rcnn | An implementation of neural network components and optimization methods for text analysis, including rationales for neural predictions. | 355 |
 sfmth/openspike | An accelerator designed to speed up spiking neural networks by integrating synaptic weights on a single chip. | 132 |
 mrdimosthenis/synapses | A collection of libraries for building and training neural networks in various programming languages | 70 |
 spinnakermanchester/spynnaker | Provides a common codebase for simulating neural networks on SpiNNaker hardware | 105 |
 snap-stanford/distance-encoding | A deep learning framework designed to improve the performance of Graph Neural Networks (GNNs) through distance encoding techniques. | 184 |
 seungwonpark/randwirenn | Implementation of neural network exploration with randomly wired architectures | 685 |
 namisan/mt-dnn | A PyTorch package implementing multi-task deep neural networks for natural language understanding | 2,238 |
 jingweiz/pytorch-dnc | An implementation of Neural Turing Machine and Differentiable Neural Computer architectures using PyTorch and Visdom for deep learning tasks. | 278 |
 molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |