makrout / Deep-Learning-without-Weight-TransportLinks
Deep Learning without Weight Transport
☆35Updated 5 years ago
Alternatives and similar repositories for Deep-Learning-without-Weight-Transport
Users that are interested in Deep-Learning-without-Weight-Transport are comparing it to the libraries listed below
Sorting:
- ☆28Updated 6 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- ☆114Updated last year
- ☆24Updated 4 years ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆77Updated 5 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated 2 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆87Updated last year
- 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
- Code for "Deep predictive coding network with local recurrent processing for object recognition"☆29Updated 9 months ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier☆12Updated 6 years ago
- ☆17Updated 4 years ago
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆58Updated 6 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆156Updated 4 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 7 months ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 7 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆36Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 8 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆13Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- Tutorials on learning and using successor representations.☆52Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆76Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019☆48Updated 6 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 3 years ago