nengo / keras-lmu
Keras implementation of Legendre Memory Units
☆212Updated this week
Alternatives and similar repositories for keras-lmu:
Users that are interested in keras-lmu are comparing it to the libraries listed below
- Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"☆151Updated 4 years ago
- Simulation of spiking neural networks (SNNs) using PyTorch.☆44Updated last year
- Deep learning for spiking neural networks☆69Updated 10 months ago
- A lightweight and flexible framework for Hebbian learning in PyTorch.☆82Updated last year
- Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…☆90Updated 7 years ago
- ☆141Updated 3 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆285Updated last year
- Python implementation of GLN in different frameworks☆98Updated 4 years ago
- ☆153Updated 4 years ago
- Example of "biological" learning for MNIST☆294Updated 3 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated 9 months ago
- Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.☆33Updated 5 years ago
- Deep Learning without Weight Transport☆34Updated 5 years ago
- Deep learning integration for Nengo☆89Updated this week
- [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs☆103Updated 4 years ago
- Train self-modifying neural networks with neuromodulated plasticity☆76Updated 5 years ago
- Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration☆224Updated 7 months ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆116Updated 3 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 8 months ago
- A repository containing the code for the Bistable Recurrent Cell☆47Updated 4 years ago
- Implementation of the Legendre Memory Unit in PyTorch☆22Updated 5 years ago
- Evolution Strategy Library☆55Updated 4 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated 3 months ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆87Updated 2 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆49Updated 4 years ago
- ☆80Updated 6 years ago
- Implements stochastic line search☆118Updated 2 years ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Training neural networks with target propagation☆13Updated 7 years ago
- Experiment orchestration☆103Updated 4 years ago