flori-stelzer / deep-learning-delay-systemLinks
☆24Updated 2 years ago
Alternatives and similar repositories for deep-learning-delay-system
Users that are interested in deep-learning-delay-system are comparing it to the libraries listed below
Sorting:
- Neural network (reservoir computing system) based on electro-optical delay setup☆15Updated 6 years ago
- Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”☆14Updated 2 years ago
- Liquid State Machines in Python and NEST☆75Updated 5 years ago
- Spiking neural networks in JAX with equinox.☆27Updated last year
- Instructional implementation of Physics-Aware Training (PAT) with demonstrations on simulated experiments.☆306Updated last year
- Oger is a toolbox mainly used for Reservoir Computing neural networks, such as Echo State Networks (ESN) and Liquid State Machines (LSM)☆21Updated 3 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks☆52Updated 5 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆33Updated last year
- ☆21Updated 6 years ago
- Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. Chaos 27, 121102 (2017); https://doi.o…☆48Updated 5 years ago
- The Spiking Reservoir (Liquid State Machine - LSM) Simulator☆59Updated 2 years ago
- A library modeling the fiber-optic channel governed by nonlinear schrödinger equation, accompanied with TX and RX DSP chain implementatio…☆24Updated 3 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆63Updated 4 years ago
- Spyx: Spiking Neural Networks in JAX☆126Updated 3 weeks ago
- ☆33Updated 2 months ago
- RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.☆29Updated 8 years ago
- memristor 1T1R array based CNN and ConvLSTM☆71Updated 6 years ago
- The biologically plausible self backpropagation on SNNs and ANNs☆12Updated 4 years ago
- The repository corresponds to our paper https://www.nature.com/articles/s41467-024-51110-5☆34Updated 2 months ago
- Deep learning for spiking neural networks☆69Updated last year
- Long short-term memory Spiking Neural Networks☆107Updated 5 years ago
- This Pytorch-based framework demonstrates a sentiment analysis task in the IMDB movie reviews dataset using an SNN with a statistic memri…☆24Updated 2 years ago
- The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predict…☆10Updated 6 years ago
- A brian2 extension to simulate spiking neural networks on GPUs☆66Updated this week
- Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).☆57Updated 4 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆31Updated 3 years ago
- Demonstration of reservoir computing using a single dynamical node as described in: https://www.nature.com/articles/ncomms1476☆13Updated 7 years ago
- Neurons learn by predicting future activity☆30Updated 4 years ago
- A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…☆74Updated last week