guillaumeBellec / deep_rewiringLinks
Quick tutorial to Deep Rewiring
☆14Updated 6 years ago
Alternatives and similar repositories for deep_rewiring
Users that are interested in deep_rewiring are comparing it to the libraries listed below
Sorting:
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 7 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- ☆71Updated 9 years ago
- This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", whic…☆32Updated 3 years ago
- Profiling power consumption of a neuromorphic keyword spotter.☆22Updated 5 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- ☆114Updated last year
- One-Shot Object Appearance Learning using Spiking Neural Networks☆23Updated 6 years ago
- Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"☆31Updated 11 months ago
- ☆32Updated 6 years ago
- spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals☆17Updated 11 years ago
- PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier☆12Updated 6 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 3 years ago
- Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)☆74Updated 4 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- Event-based deep belief network offline training algorithm☆22Updated 11 years ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 7 years ago
- ☆52Updated 6 years ago
- Reinforcement Learning for Spiking Neural Networks☆83Updated 10 months ago
- ☆45Updated 2 years ago
- Reducing the size of convolutional neural networks☆112Updated 7 years ago
- Learning-Recurrent-Binary-Ternary-Weights☆12Updated 6 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆18Updated 6 years ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18Updated 6 years ago
- Demo: Slightly More Bio-Plausible Backprop☆21Updated 8 years ago
- A Spiking Multi-Layer Perceptron☆33Updated 7 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- ☆42Updated 5 years ago
- ☆28Updated 6 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago