nengo / nengo-spaLinks
Implementation of the Semantic Pointer Architecture for Nengo
☆23Updated 3 months ago
Alternatives and similar repositories for nengo-spa
Users that are interested in nengo-spa are comparing it to the libraries listed below
Sorting:
- Nengo interactive visualizer☆108Updated last month
- Nengo library of additional extensions☆29Updated 2 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- Deep learning integration for Nengo☆91Updated 3 months ago
- Code for the 2-simplicial Transformer paper☆21Updated 5 years ago
- Spaun (nengo 2.0 version)☆75Updated 10 months ago
- Modeling agents with probabilistic programs☆67Updated 5 years ago
- Experimental algorithms. Unsupported.☆111Updated 11 months ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆14Updated last year
- A toy model of Friston's active inference in Tensorflow☆41Updated 7 years ago
- Neural model of hierarchical reinforcement learning☆16Updated 7 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆72Updated 3 years ago
- OpenCL-based simulator for Nengo neural models☆24Updated 2 months ago
- Train self-modifying neural networks with neuromodulated plasticity☆77Updated 5 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆37Updated 6 years ago
- Deep learning in a spiking neural network using segregated dendrites.☆84Updated 8 years ago
- An attempt to reimplement the 2013 paper by Wissner-Gross & Freer☆10Updated 6 months ago
- Map-Elites based on Evolution Strategies☆31Updated 3 years ago
- MC-AIXI-CTW by Marcus Hutter and his students (in particular Daniel Visentin)☆49Updated 14 years ago
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆158Updated 4 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆50Updated 4 years ago
- Instructive examples using projects in the Nengo ecosystem☆23Updated last year
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- Code for NEMO, and Assembly Calculus☆106Updated 7 months ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆87Updated last year
- Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.☆79Updated last year
- Auryn: A fast simulator for spiking neural networks with synaptic plasticity☆102Updated 4 months ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆15Updated 6 years ago
- Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”☆46Updated 4 years ago