PlanHouse's Stars
nschaetti/EchoTorch
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.
GestaltCogTeam/STEP
Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.
qianlima-lab/time-series-ptms
This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).
quantinfo/ng-rc-paper-code
Code for the paper "Next Generation Reservoir Computing"
knowm/memristor-models-4-all
This project aims to be a collaborative effort to collect under one roof all the memristor models published to date.
zhongruiwang/memristorCNN
memristor 1T1R array based CNN and ConvLSTM
jdppthk/parallelized-reservoir-computing
This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the paper: Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach (Physical Review Letters, 120, 024102 (2018)).
zhongruiwang/memristor_RL
Memristor Reinforcement Learning
joksas/badcrossbar
A Python tool for computing and plotting currents and voltages in passive crossbar arrays.
E-Renshaw/kuramoto-sivashinsky
A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB
rankinjl/internet-traffic-stats-project
A statistical decomposition of internet traffic data (in bits) over time. Using RStudio I performed a Simple Trend Model, Multiplicative Classical Decomposition, Additive Classical Decomposition, and an ARIMA model.
ideb1988/Image_Segmentation
texture and color based Image Segmentation using K-Means Clustering
matzewolf/kMeans
k-means (unsupervised learning/clustering) algorithm implemented in MATLAB.
GTANAKA-LAB/Memristor-Network-Reservoir
Memristor-Network-Reservoir: MATLAB codes for simulating memristor networks and performing reservoir computation.
xiaohuiduan/network-traffic-dataset
this is dataset about network traffic
QCmonk/Qmemristor
Code base for quantum memristor
qianlima-lab/Scale-teaching
This is an official pytorch implementation for paper "Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels" (NeurIPS-23).
Deepak1194/Brain-tumor-Segmentation
Implementation of K-means Clustering Algorithm for detection of range and shape of Brain tumor in Brain MRI images
sebastian-marcel-witkowski/Neuromorphic-Computer-Simulation
This is the code and final report I submitted for my senior capstone in which I designed and simulated a neuromorphic computer which utilized the memristor in order to implement the non-Von Neumann architecture necessary.
MaterialMan/CHARC
Source code for the CHAracterisation of Reservoir Computers (CHARC) framework
PlanHouse/Asynchronous-Deep-Reservoir-Computation-ADRC
Reference: Bo Y C , Wang P , Zhang X . An asynchronously deep reservoir computing for predicting chaotic time series[J]. Applied Soft Computing, 2020, 95(6):106530. https://doi.org/10.1016/j.asoc.2020.106530 Also, the code can implement ESN, Li-ESN and Deep-ESN by adjusting the key parameters.
bugra/K-Means-Color-Clustering
Yet another implementation of K-means for color clustering in images
Tsinghua-LEMON-Lab/Medical-image-reconstruction
This is the raw data and core code of the article "Energy-efficient high-fidelity image reconstruction with memristor arrays for medical diagnosis"
Stuka255/Dynamic-memristor-based-reservoir-computing
wangweifcc/memristive_dbn_yflash
Ziqiang-IRCN/HP-MRESN
The implementation of HP-MRESN: an efficient method for nonlinear time-series prediction
qianlima-lab/DeePrESN
dw-liedji/Delay-RC
Delay-based reservoir computing
abhishekgupta3/Design-of-an-Exponential-Window-Function-for-Linear-Drift-Memristor-model
MacLaurinTuo/Advanced-Memristor-Modeling-in-LTSpise
Modeling of memristors in LTSpise environment