DimaKrotov / Dense_Associative_MemoryLinks
Example of Dense Associative Memory training on MNIST
☆41Updated 2 years ago
Alternatives and similar repositories for Dense_Associative_Memory
Users that are interested in Dense_Associative_Memory are comparing it to the libraries listed below
Sorting:
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆51Updated last year
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆60Updated 2 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 11 months ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆161Updated 4 years ago
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆90Updated last year
- repo for code for paper on general theory associative memory models☆21Updated 3 years ago
- NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python☆162Updated last week
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- Predictive Coding JAX-based library☆81Updated 5 months ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆37Updated 5 years ago
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆25Updated last year
- ☆20Updated 2 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆89Updated 3 years ago
- Code for NEMO, and Assembly Calculus☆106Updated 10 months ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- ☆87Updated last year
- Code to simulate energy-based analog systems and equilibrium propagation☆30Updated 6 months ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆37Updated 4 years ago
- Neurons learn by predicting future activity☆29Updated 3 years ago
- ☆14Updated 4 years ago
- Implementation of the Tolman Eichenbaum Machine in pytorch☆165Updated 3 years ago
- This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropag…☆132Updated last year
- A repository collating interesting and/or influential predictive coding papers☆89Updated 4 years ago
- ☆28Updated 6 years ago
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆28Updated last year
- ☆197Updated 3 years ago
- Experiments with Direct Feedback Alignment training scheme for DNNs☆32Updated 8 years ago
- ☆41Updated 3 years ago
- Example of "biological" learning for MNIST☆300Updated 3 years ago