Happy-Algorithms-League / e2l-cgp-snnLinks
This repository contains data and analysis scripts to reproduce the figures as well as source code and simulation scripts to perform the experiments described in Jordan, Schmidt, et al., 2020.
☆12Updated 4 years ago
Alternatives and similar repositories for e2l-cgp-snn
Users that are interested in e2l-cgp-snn are comparing it to the libraries listed below
Sorting:
- ☆39Updated 3 years ago
- Automatically generate simple meta-learning tasks from a very large space☆15Updated last year
- Spiking neuron integration for PyTorch☆41Updated 2 months ago
- flexible meta-learning in jax☆14Updated last year
- Learning to Learn: Gradient-free Optimization framework☆36Updated 3 years ago
- ☆14Updated 3 years ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆32Updated 3 years ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆35Updated 5 years ago
- NGC Museum: Biomimetic Credit Assignment and Brain-Inspired Computing with NGC-Learn☆15Updated 3 weeks ago
- Software for using predictive coding algorithms to train PyTorch models.☆23Updated last year
- Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)☆51Updated 3 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆32Updated 7 months ago
- Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)☆13Updated last year
- ☆29Updated last year
- Drop-in environment replacements that make your RL algorithm train faster.☆20Updated 11 months ago
- Codes for Evolving Plastic ANNs☆13Updated 2 years ago
- A list of papers that I liked.☆19Updated 2 years ago
- Official codebase for Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings.☆21Updated 4 years ago
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆17Updated 2 years ago
- A new model for quickly training and simulating adaptive leaky integrate-and-fire spiking neural networks.☆14Updated last year
- Implementation of the Semantic Pointer Architecture for Nengo☆22Updated 2 months ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆22Updated 2 years ago
- Cartesian genetic programming (CGP) in pure Python.☆32Updated last year
- Train self-modifying neural networks with neuromodulated plasticity☆77Updated 5 years ago
- Code accompanying the paper "Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis"☆11Updated last year
- Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…☆24Updated last year
- Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients☆38Updated 2 years ago
- ☆13Updated 10 months ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆87Updated last year
- The Energy Transformer block, in JAX☆57Updated last year