DimaKrotov / Dense_Associative_MemoryLinks
Example of Dense Associative Memory training on MNIST
☆42Updated 3 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:
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆165Updated 5 years ago
- Predictive Coding JAX-based library☆86Updated 8 months ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated last year
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆55Updated last year
- ☆14Updated 4 years ago
- ☆20Updated 2 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python☆170Updated last week
- repo for code for paper on general theory associative memory models☆21Updated 3 years ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆38Updated 5 years ago
- ☆27Updated 2 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆95Updated last year
- A repository collating interesting and/or influential predictive coding papers☆90Updated 4 years ago
- Code for NEMO, and Assembly Calculus☆108Updated last year
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆63Updated 2 years ago
- Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.☆38Updated 4 years ago
- The Energy Transformer block, in JAX☆63Updated 2 years ago
- Hierarchical Associative Memory User Experience☆105Updated last month
- Implementation of feedback alignment learning in PyTorch☆31Updated 2 years ago
- ☆28Updated 6 years ago
- ☆35Updated 4 years ago
- ☆91Updated last year
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆25Updated last year
- ☆41Updated 3 years ago
- Flexible Inference for Predictive Coding Networks in JAX.☆64Updated this week
- A centralized place for deep thinking code and experiments☆88Updated 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
- The Official PyTorch Implementation of "Brain-like Variational Inference" (NeurIPS 2025 Paper)☆64Updated last month
- BrainProp: How the brain can implement reward-based error backpropagation☆17Updated 3 years ago