hjq310 / NeuroPack
NeuroPack, a tool for emulating memristor-based neuromorphic architectures
☆26Updated 2 years ago
Alternatives and similar repositories for NeuroPack:
Users that are interested in NeuroPack are comparing it to the libraries listed below
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- ☆37Updated 2 years ago
- Simulations using Brian for memristor-based neural networks using STDP learning☆26Updated 8 years ago
- ☆9Updated 5 years ago
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆28Updated last year
- Modeling of memristors in LTSpise environment☆27Updated 6 months 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
- In-sensor reservoir computing for language learning via two-dimensional memristors☆17Updated 2 years ago
- Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”☆12Updated last year
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆34Updated 3 years ago
- ReRAM implementation on CNN☆18Updated 6 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆35Updated 4 years ago
- Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"☆11Updated last year
- memristor 1T1R array based CNN and ConvLSTM☆69Updated 5 years ago
- This is a 3-layer SNN for MNIST☆14Updated 2 years ago
- Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)☆28Updated 3 years ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆23Updated 5 years ago
- ☆32Updated last year
- Threshold annealing in binarized spiking neural networks☆15Updated 2 years ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆39Updated 7 months ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- IEEE Transactions on Circuits and Systems I: Efficient FPGA Implementations of Pair and Triplet-based STDP for Neuromorphic Architectures☆26Updated 5 years ago
- Architecture for RRAM multilevel programming☆16Updated 6 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆84Updated 3 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆31Updated 5 years ago
- training SNN with Resume algorithm☆12Updated 5 years ago
- Reimplementation of the paper "STDP-based spiking deep convolutional neural networks for object recognition"☆13Updated last year
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆77Updated last week
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆55Updated 3 years ago
- I will share some useful or interesting papers about neuromorphic processor☆24Updated 2 months ago