makrout / Deep-Learning-without-Weight-Transport
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
- ☆28Updated 6 years ago
- ☆24Updated 4 years ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 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
- ☆17Updated 4 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆34Updated 5 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆35Updated 6 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆13Updated last year
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆29Updated 5 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆76Updated 5 years ago
- Tutorials on learning and using successor representations.☆52Updated 5 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆87Updated last year
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 6 months ago
- 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
- Repository for VOneNet models☆115Updated 4 months ago
- ☆114Updated last year
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆50Updated last year
- Deep Successor Representation☆17Updated 7 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆88Updated 2 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated last year
- PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier☆12Updated 6 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆151Updated 4 years ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆64Updated 4 years ago
- paper lists and information on mean-field theory of deep learning☆74Updated 6 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated last year
- Minimizing Control for Credit Assignment with Strong Feedback☆14Updated 6 months ago
- PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.☆14Updated 4 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 8 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago