wangsc1912 / rc_pndi
[Nature Communications 2023] "Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning"
☆11Updated 2 years ago
Alternatives and similar repositories for rc_pndi:
Users that are interested in rc_pndi are comparing it to the libraries listed below
- Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”☆12Updated last year
- ☆32Updated last year
- ☆51Updated 2 years ago
- ☆9Updated 5 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆25Updated 2 years ago
- In-sensor reservoir computing for language learning via two-dimensional memristors☆17Updated 2 years ago
- memristor 1T1R array based CNN and ConvLSTM☆68Updated 5 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆28Updated 3 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆59Updated last year
- ☆37Updated 2 years ago
- Simulations using Brian for memristor-based neural networks using STDP learning☆26Updated 8 years ago
- This Pytorch-based framework demonstrates a sentiment analysis task in the IMDB movie reviews dataset using an SNN with a statistic memri…☆20Updated 2 years ago
- Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…☆60Updated 4 years ago
- Memristor Reinforcement Learning☆28Updated 6 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- ☆89Updated last year
- [Nature Machine Intelligence 2023] "Echo state graph neural networks with analogue random resistive memory arrays."☆22Updated 2 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆35Updated 7 months ago
- Python code implementing the algorithms of my MSc Dissertation on "Modified training for increased robustness in memristor-based neural n…☆15Updated 3 years ago
- ☆37Updated last year
- Repository code for the IJCNN 2021 paper "Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks"☆16Updated 2 years ago
- ☆38Updated 3 years ago
- code for generating data set ES-ImageNet with corresponding training code☆31Updated 9 months ago
- A Simulation Framework for Memristive Deep Learning Systems☆148Updated 10 months ago
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆66Updated 2 years ago
- Oger is a toolbox mainly used for Reservoir Computing neural networks, such as Echo State Networks (ESN) and Liquid State Machines (LSM)☆18Updated 3 years ago
- ☆21Updated 3 years ago
- Training Recurrent Neural Networks via Forward Propagation Through Time☆41Updated 3 years ago
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆27Updated last year
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆75Updated this week