Laborieux-Axel / Equilibrium-Propagation
EP
☆17Updated 4 years ago
Alternatives and similar repositories for Equilibrium-Propagation:
Users that are interested in Equilibrium-Propagation are comparing it to the libraries listed below
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆66Updated 4 years ago
- Repository to reproduce the results of the paper "Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscill…☆8Updated 6 months ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 3 years ago
- Code to simulate energy-based analog systems and equilibrium propagation☆26Updated 2 weeks ago
- ☆73Updated last year
- Paper submission☆20Updated last year
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- Experiments with Direct Feedback Alignment training scheme for DNNs☆31Updated 8 years ago
- ☆90Updated last year
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- Threshold annealing in binarized spiking neural networks☆16Updated 2 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 5 months ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆49Updated last year
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆86Updated 11 months ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆51Updated 2 years ago
- ☆12Updated 2 years ago
- ☆12Updated 3 years ago
- Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)☆34Updated 2 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- ☆45Updated 2 years ago
- PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…☆32Updated 3 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆50Updated 2 years ago
- Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters☆12Updated 2 years ago
- BNTT - Frontiers in Neuroscience (2021)☆47Updated 3 years ago
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆34Updated 5 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆60Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆67Updated 2 years ago
- ☆16Updated 4 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago