gatapia / unsupervised_bio_classifier
PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier
☆14Updated 5 years ago
Alternatives and similar repositories for unsupervised_bio_classifier:
Users that are interested in unsupervised_bio_classifier are comparing it to the libraries listed below
- ☆27Updated 5 years ago
- Convolutional deep neural network with biology-inspired learning rule (Hebbian and reward-based learning)☆51Updated 7 years ago
- Deep Learning without Weight Transport☆34Updated 5 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆37Updated last year
- Code for "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs", ICLR 2019☆48Updated 6 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 7 years ago
- Github page for SSDFA☆11Updated 5 years ago
- Code for "Deep predictive coding network with local recurrent processing for object recognition"☆28Updated 7 months ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated last year
- Code for "Deep predictive coding network for object recognition"☆25Updated 4 years ago
- To identify features by aggregate-label learning in spiking neurons☆14Updated 7 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆12Updated last year
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated 11 months ago
- ☆112Updated last year
- Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"☆14Updated 5 years ago
- Delta Orthogonal Initialization for PyTorch☆18Updated 6 years ago
- Implementation of feedback alignment learning in PyTorch☆30Updated last year
- Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.☆56Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- ☆32Updated 6 years ago
- Quick tutorial to Deep Rewiring☆13Updated 6 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…☆67Updated 4 years ago
- ☆72Updated 5 years ago
- Nuerapse simulations for SNNs☆24Updated 6 years ago
- Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset☆89Updated 5 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units☆23Updated 4 years ago