takyamamoto / Hopfield-NetworkLinks
Hopfield network implemented with Python
☆98Updated 5 years ago
Alternatives and similar repositories for Hopfield-Network
Users that are interested in Hopfield-Network are comparing it to the libraries listed below
Sorting:
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆95Updated last year
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆168Updated 5 years ago
- An implementation of Restricted Boltzmann Machine in Pytorch☆56Updated 6 years ago
- Example of "biological" learning for MNIST☆302Updated 3 years ago
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆40Updated 2 years ago
- Implementation of feedback alignment learning in PyTorch☆32Updated 2 years ago
- NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python☆173Updated 2 weeks ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆145Updated 4 years ago
- Keras implementation of Legendre Memory Units☆214Updated 2 months ago
- A repository collating interesting and/or influential predictive coding papers☆90Updated 4 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆53Updated 5 years ago
- A repository for major/influential FEP and active inference papers.☆218Updated 4 years ago
- Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…☆69Updated 7 years ago
- BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms☆57Updated last year
- Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)☆44Updated 4 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆39Updated last year
- Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021☆161Updated 4 years ago
- Train PyTorch Models using the Genetic Algorithm with PyGAD☆102Updated last year
- Spyx: Spiking Neural Networks in JAX☆131Updated last month
- Cosyne workshop tutorial 2022☆128Updated 3 years ago
- Predictive coding in Python☆70Updated last year
- Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.☆31Updated 4 years ago
- A Python implementation of the Hopfield network☆22Updated 4 years ago
- Spiking neuron integration for PyTorch☆41Updated 10 months ago
- Neurons learn by predicting future activity☆30Updated 4 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆40Updated 6 years ago
- Implementation of the Legendre Memory Unit in PyTorch☆22Updated 6 years ago
- Free Energy Principle and Active Inference tutorials for newbies☆50Updated 5 years ago