hjq310 / NeuroPackLinks
NeuroPack, a tool for emulating memristor-based neuromorphic architectures
☆27Updated 2 years ago
Alternatives and similar repositories for NeuroPack
Users that are interested in NeuroPack are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- ☆40Updated 3 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- Simulations using Brian for memristor-based neural networks using STDP learning☆27Updated 9 years ago
- A Simulation Framework for Memristive Deep Learning Systems☆158Updated last year
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆28Updated 2 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆38Updated 5 years ago
- Collection of Spiking Neural Network applications for SNN Toolbox.☆33Updated 5 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆85Updated 3 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆35Updated 3 years ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆175Updated last year
- memristor 1T1R array based CNN and ConvLSTM☆70Updated 6 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- ☆37Updated last year
- CrossSim: accuracy simulation of analog in-memory computing☆170Updated 4 months ago
- FeedForward Propagation Through Time on Spiking Neural Network (SNNs)☆55Updated 2 years ago
- This Pytorch-based framework demonstrates a sentiment analysis task in the IMDB movie reviews dataset using an SNN with a statistic memri…☆22Updated 2 years ago
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆86Updated last week
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Updated 10 months ago
- A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.☆42Updated 11 months ago
- Quantization-aware training with spiking neural networks☆44Updated 3 years ago
- I will share some useful or interesting papers about neuromorphic processor☆25Updated 6 months ago
- Framework for radix encoded SNN on FPGA☆14Updated 3 years ago
- ☆9Updated 5 years ago
- Modeling of memristors in LTSpise environment☆32Updated last week
- Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"☆11Updated 2 years ago
- ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.☆187Updated 6 years ago
- ☆38Updated 3 years ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆23Updated 5 years ago
- Python implementations and simulations of HP Labs Ion Drift and Yakopcic memristor models.☆31Updated 2 years ago