guillaumeBellec / deep_rewiring
Quick tutorial to Deep Rewiring
☆13Updated 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
- To identify features by aggregate-label learning in spiking neurons☆13Updated 6 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆18Updated 5 years ago
- ☆69Updated 9 years ago
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 6 years ago
- Training wide residual networks for deployment using a single bit for each weight☆36Updated 4 years ago
- Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)☆74Updated 4 years ago
- Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"☆30Updated 6 months ago
- Implementation of BinaryConnect on Pytorch☆36Updated 3 years ago
- PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier☆14Updated 5 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆37Updated 3 years ago
- One-Shot Object Appearance Learning using Spiking Neural Networks☆23Updated 5 years ago
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- ☆32Updated 6 years ago
- A machine learning library for PyTorch☆92Updated 2 years ago
- Biologically-realistic recurrent convolutional neural networks☆97Updated last year
- This is the PyNN code used in the paper titled "Multilayer Spiking Neural Network for audio samples classification using SpiNNaker", whic…☆31Updated 3 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 4 years ago
- Reducing the size of convolutional neural networks☆114Updated 7 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆145Updated 7 years ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 4 years ago
- PyTorch code for training neural networks without global back-propagation☆165Updated 5 years ago
- Supervised learning in spiking neural networks for precise temporal encoding☆18Updated 5 years ago
- An event based dataset loader under one common python API.☆9Updated 2 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317☆15Updated 6 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆124Updated 6 years ago
- Stochastic Adaptive Neural Architecture Search☆65Updated 6 years ago
- Implementation of Ternary Weight Networks In Caffe☆62Updated 8 years ago
- Training neural networks with back-prop, feedback-alignment and direct feedback-alignment☆100Updated 7 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 6 years ago