Csfrr-98's Stars
peter-u-diehl/stdp-mnist
BindsNET/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
FilippoMB/Time-series-classification-and-clustering-with-Reservoir-Computing
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
Snowfallingplum/Face-classification-based-on-sparse-representation
Face classification based on sparse representation
gkrish19/SIAM
Scalable In-Memory Acceleration With Mesh: Device, Circuits, Architecture, and Algorithm
Tsinghua-LEMON-Lab/Reservoir-computing
TofuCasserole/autapse-model
duanqingxi/NCOMMS-20-02976
zhongruiwang/memristor_RL
Memristor Reinforcement Learning
thuime/XPEsim
A simulator for RRAM-based neural processor engine.
ianvermeulen/memristor_simulations
Simulations using Brian for memristor-based neural networks using STDP learning
amclean3695/Tensorflow-Framework-for-Implementing-DNN-using-Memristor-Arrays-
JonasMarma/memristor-spiking-neuron
Aayush-Ankit/traNNsformers
Structured clustering for memristive crossbar based neuromorphic architectures
zhongruiwang/memristorCNN
memristor 1T1R array based CNN and ConvLSTM
neurosim/DNN_NeuroSim_V2.1
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
cai-y13/Train_on_RRAM
This repo is a framework to simulate the training based on RRAM crossbars. The framework has integrated fixed-point training, splitting training, and training with sparse gradients.