Echo State Networks in Python
MIT License
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Evaluation of Continual Learning with Recurrent Neural Networks
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Deep Residual Learning in Spiking Neural Networks
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Google Colaboratory Notebooks and Repositories (by @firmai)
This is a repository for building neural networks. Just modeling for understanding NNs.
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
neural-network laboratory
Quantization-aware training with spiking neural networks
Implementation of the paper Homeostatic plasticity in Bayesian spiking networks as Expectation Ma...
Recurrent Neural Network from scratch using Python and Numpy
Explore the double-descent phenomena in the context of system identification. Companion code to t...
Echo State Networks with TensorFlow
Spiky networks